AI Models
DeepLab is a state-of-the-art deep learning model for semantic image segmentation. This TensorFlow implementation provides code for training, evaluation, and visualization of…
Best AI Models
324 toolsDiscover the best AI Models — from language transformers like DistilGPT2 and Claude Opus to advanced systems such as GPT-5.6: Frontier intelligence and Gemini 3.1 Pro by Google DeepMind, this is where developers and researchers explore tools that enhance their projects: generating human-like text, building conversational agents, developing complex algorithms, and pushing the boundaries of AI capabilities. Browse 324 AI Models spanning AI Models & LLMs, Other AI Tools, Machine Learning Platforms, Scientific Discovery & Lab Tools and AI Image Generators and more.
324 tools
AI Models
The CVPR 2021 Open Access Repository provides access to accepted versions of papers from the IEEE/CVF Conference on Computer Vision and Pattern Recognition. These papers are…
AI Models
ViT-Adapter is an AI model that enhances Vision Transformer (ViT) performance for dense prediction tasks like object detection and segmentation. It introduces image-specific…
AI Models
Apple Machine Learning Research is a platform dedicated to advancing the field of machine learning. It serves as a hub for research papers, publications, and insights into Apple's…
AI Models
TimeSformer is a novel AI architecture for video understanding, exclusively utilizing self-attention Transformers. It achieves state-of-the-art results on action recognition…
Carnegie Mellon Computational Imaging is a research group focused on advancing the field of computational imaging. They explore novel techniques and algorithms for image…
AI Models
This AI model offers a general-purpose solution for image-to-image translation tasks. It learns both the image mapping and the appropriate loss function, enabling versatile…
AI Models
DM-GAN is a PyTorch implementation of Dynamic Memory Generative Adversarial Networks for text-to-image synthesis. This repository provides code, pretrained models, and evaluation…
AI Models
Personal website of Yang Song, a Research Principal at Meta Superintelligence Labs. Previously led strategic explorations at OpenAI and earned a Ph.D. from Stanford University.…
AI Models
Imagen is a text-to-image diffusion model developed by Google Research. It generates photorealistic images with a deep understanding of language. Imagen excels at image-text…
AI Models
Imagen Video is a text-conditional video generation system developed by Google Research. It leverages a cascade of video diffusion models to create high-definition videos from…
AI Models
Make-A-Video is an advanced AI system that generates videos from text prompts. It leverages text-to-image progress and unlabeled video data to understand the world's appearance…
AI Models
This AI model introduces a novel neural network architecture, the RNN Encoder-Decoder, for statistical machine translation. It uses two recurrent neural networks to encode source…
AI Models
ULMFiT is a powerful technique for fine-tuning pre-trained language models. It enables efficient transfer learning for text classification tasks, achieving state-of-the-art…
AI Models
EleutherAI is a research collective focused on advancing artificial intelligence, particularly large language models. They aim to democratize AI by making powerful models and…
AI Models
Together AI is a platform for AI models. It provides access to various models, enabling developers to integrate advanced AI capabilities into their applications. The platform…
AI Models
OpenLLaMA is a permissively licensed, open-source reproduction of Meta AI's LLaMA 7B model. Trained on the RedPajama dataset, it offers 3B, 7B, and 13B parameter versions,…
AI Models
GIT (Generative Image-to-text Transformer) is an AI model by Microsoft for vision and language tasks. It generates text descriptions from images and can perform visual question…
AI Models
UNITER is a research code repository for the ECCV 2020 paper 'UNITER: UNiversal Image-TExt Representation Learning'. It provides code for finetuning and inference across various…
AI Models
Oscar and VinVL are advanced AI models for vision-language tasks. Oscar uses object-semantics alignment for pre-training, achieving state-of-the-art results. VinVL enhances visual…
AI Models
Dreamer V3 is a general reinforcement learning algorithm that learns environment models to solve diverse control tasks. It excels across over 150 tasks with a single…
AI Models
Plan2Explore is a self-supervised reinforcement learning agent designed for efficient exploration and rapid adaptation to new tasks. It leverages planning to seek out expected…
AI Models
Securely access your Google services with your Google Account. This system allows users to sign in using their email or phone number, manage personal information, and maintain…
AI Models
World Models is a research project exploring generative neural network models for reinforcement learning environments. It enables agents to learn within simulated 'dreams'…
AI Models
This repository provides the author's official PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3). It is designed for continuous control tasks within…
AI Models
DeepMind is a leading artificial intelligence research laboratory focused on developing advanced AI models. Their work spans various domains, aiming to solve complex problems and…
AI Models
This repository provides an implementation of Principal Neighbourhood Aggregation (PNA) for Graph Neural Networks. It supports PyTorch, DGL, and PyTorch Geometric frameworks,…
AI Models
This GitHub repository provides PyTorch implementations for DeepGCNs, DeeperGCN, and GNN1000. It enables training very deep Graph Convolutional Networks by adapting concepts from…
AI Models
OpenReview.net is a platform dedicated to fostering openness in scientific communication. It champions open peer review, open publishing, open access, and open discussion, aiming…
AI Models
Explore audio synthesis demos powered by DiffWave, a versatile diffusion model. This resource showcases neural vocoding, class-conditional generation, unconditional waveform…
AI Models
FastSpeech 2 is an end-to-end text-to-speech model that enhances voice quality and training speed. It directly incorporates speech variation information like pitch and energy,…
AI Models
This is an unofficial demonstration page for Parallel WaveGAN and related audio generation models. It showcases audio samples generated by various implementations, including…
AI Models
HiFi-GAN is a generative adversarial network for efficient and high-fidelity speech synthesis. It models periodic patterns in audio to enhance sample quality, achieving human-like…
AI Models
ESPnet is an open-source toolkit for end-to-end speech processing. It provides comprehensive recipes and tools for tasks like Automatic Speech Recognition (ASR), Text-to-Speech…
AI Models
This AI model explores user privacy sensitivity towards personal data in online contexts like retail, social networking, and search. It quantifies sensitivity for specific data…
AI Models
MUSE is a Python library for creating multilingual word embeddings, supporting both unsupervised and supervised methods. It aligns fastText embeddings into a common space and…
AI Models
A Hidden Markov Model (HMM) is a statistical model where observations depend on an unobservable Markov process. It's used to infer hidden states from observed data, finding…
AI Models
An autoencoder is a type of neural network designed for unsupervised learning, focusing on learning efficient data encodings. It comprises an encoder that compresses data into a…
AI Models
This listing refers to a research paper by Yoshua Bengio et al. on greedy layer-wise training for deep neural networks, presented at NIPS 2006. It details a method for…
AI Models
TU Graz, also known as Graz University of Technology, is a leading Austrian technical university. It offers a wide range of bachelor's, master's, and doctoral programs across…
AI Models
The Vision Transformer (ViT) repository provides models and code for image recognition tasks. It includes implementations of the Vision Transformer and MLP-Mixer architectures,…
AI Models
Google Research is a GitHub repository for Google's research projects. It hosts code and documentation for various AI and machine learning initiatives. Developers can explore,…
AI Models
FNet is an efficient Transformer-like encoder architecture that replaces self-attention with Fourier Transforms. Developed by Google Research, it offers a high-performance…
AI Models
Google Research's GitHub repository hosts open-source projects and research initiatives. It serves as a central hub for developers and researchers to access code, collaborate, and…
AI Models
SpanBERT is an AI model focused on improving pre-training by representing and predicting spans. It offers pre-trained base and large cased models, compatible with HuggingFace BERT…
AI Models
LayoutLM is a multimodal pre-training model for visually-rich document understanding and information extraction. It combines text, layout, and image information to achieve…
AI Models
UniLM is a large-scale, self-supervised pre-training framework developed by Microsoft. It enables models to learn across diverse tasks, languages, and modalities, including text,…
AI Models
MASS is a pre-training method for sequence-to-sequence language generation tasks. It masks sentence fragments for the encoder to predict in the decoder, enhancing tasks like…
AI Models
PEGASUS is a state-of-the-art abstractive text summarization model developed by Google Research. It utilizes a novel pre-training objective, gap-sentence generation, to achieve…
AI Models
ProphetNet is a research project by the MSRA NLC team focused on natural language generation. It provides official implementations of pretrained models, including those for future…
AI Models
DeBERTa is a large-scale pre-trained language model developed by Microsoft Research. It surpasses T5 11B models in performance and achieves human-level results on SuperGLUE…
AI Models
Funnel-Transformer is an AI model that compresses hidden states to reduce computation cost. It allows for deeper or wider models with the same FLOPs and can recover token-level…
AI Models
ConvBERT is an open-source AI model for pre-training language models, introducing a novel architecture with span-based dynamic convolution. This GitHub repository provides the…
AI Models
MPNet is a novel pre-training method for language understanding tasks, improving upon BERT and XLNet. It offers a unified implementation for various pre-training models and…
AI Models
node2vec is a scalable framework for learning continuous feature representations of nodes in graphs. It optimizes neighborhood preservation through biased random walks, enabling…
AI Models
AMiner is an AI research assistant powered by the Zhipu GLM model, offering access to over 300 million literature records and 60 million scholars. It supports academic search,…
This repository provides the official code implementation for the research paper "How Attentive are Graph Attention Networks?" published at ICLR'2022. It offers reproducible…
AI Models
SEAL is a novel framework for link prediction that transforms the problem into a subgraph classification task. It extracts h-hop enclosing subgraphs and node information matrices,…
AI Models
GraphSAINT is a flexible framework for training deep Graph Neural Networks (GNNs) on large graphs. It introduces a novel minibatch training method using graph sampling, offering…
AI Models
RoboCat is a self-improving AI agent for robotics that learns to perform diverse tasks across different robotic arms. It can adapt to new tasks with as few as 100 demonstrations…
AI Models
StyleSwin is a transformer-based Generative Adversarial Network (GAN) designed for high-resolution image generation. It leverages Swin transformers and a novel double attention…
AI Models
Plenoxels offers a novel approach to radiance fields, reconstructing scenes with high fidelity without relying on neural networks. This method achieves optimization speeds two…
AI Models
This AI model introduces a multiresolution hash encoding for neural graphics primitives, enabling near-instant training of neural networks on a single GPU. It significantly…
AI Models
This AI model introduces 3D Gaussian Splatting for real-time radiance field rendering, achieving state-of-the-art visual quality at high frame rates. It optimizes scene…
AI Models
GET3D is a generative AI model that synthesizes high-quality 3D textured meshes directly from 2D image collections. It generates diverse shapes with complex topology and rich…
AI Models
Magic3D is an AI tool for high-resolution text-to-3D content creation. It generates detailed 3D mesh models from text prompts using a coarse-to-fine diffusion strategy. The tool…
AI Models
AudioLDM is a text-to-audio generation framework utilizing latent diffusion models. It translates various modalities into a unified 'language of audio' (LOA) for generating…
AI Models
Make-An-Audio is a text-to-audio generation system employing prompt-enhanced diffusion models. It addresses data scarcity and audio complexity by using pseudo prompt enhancement…
AI Models
Voicebox is a generative AI model for speech that generalizes across multiple tasks with state-of-the-art performance. It can synthesize speech, remove noise, edit content,…
AI Models
Decision Transformer reframes reinforcement learning as a sequence modeling problem, leveraging Transformer architectures like GPT-x and BERT. It generates optimal actions by…
AI Models
Microsoft Research is a hub for groundbreaking AI and technology innovation. Explore projects, publications, and news from leading researchers pushing the boundaries of computer…
AI Models
MIMIC-III v1.4 is a comprehensive, freely accessible clinical database containing deidentified health data from over 40,000 ICU patients. It includes demographics, vital signs,…
AI Models
The Allen Institute for AI (AI2) is a non-profit research institute dedicated to conducting high-impact AI research and engineering. They focus on advancing AI for the common…
AI Models
The ESM Metagenomic Atlas is an open resource by Meta AI, providing access to over 772 million predicted protein structures from metagenomic data. It enables researchers to…
AI Models
OmegaFold is a high-resolution de novo protein structure prediction tool that generates 3D protein structures directly from primary amino acid sequences. It offers significant…
AI Models
Robetta is an AI-powered protein structure prediction service utilizing the RoseTTAFold deep learning method. It offers fast and accurate predictions, with an interactive…
AI Models
EquiBind is a geometric deep learning model for predicting the 3D structure of small molecules binding to proteins. It offers fast, direct-shot predictions for both receptor…
AI Models
AlphaFold provides AI-predicted 3D protein structures, expanding the AlphaFold Protein Structure Database to over 200 million entries. This resource accelerates biological…
AI Models
Uni-Mol is a universal 3D molecular representation learning framework for various downstream tasks like property prediction and binding pose prediction. It includes Uni-Mol+,…
AI Models
GraphCast is an AI model for global weather forecasting, delivering 10-day predictions with unprecedented accuracy in under a minute. It significantly outperforms traditional…
AI Models
Pangu-Weather is an AI-based system for accurate medium-range global weather forecasting. It utilizes 3D neural networks and a hierarchical temporal aggregation strategy to…
AI Models
Google DeepMind's GNoME is a deep learning tool that accelerates the discovery of new inorganic crystals. It predicts material stability, identifying millions of novel compounds,…
matgenb offers a curated collection of Jupyter notebooks for materials science research. It demonstrates the use of open-source tools like pymatgen, Custodian, and Fireworks for…
AI Models
MACE is a Python library for fast and accurate machine learning interatomic potentials. It utilizes higher-order equivariant message passing for advanced material science…
AI Models
Allegro is a strictly local E(3)-equivariant machine-learning interatomic potential. Implemented as a NequIP extension package, it focuses on providing accurate and efficient…
AI Models
PyTorch implementation of the TabNet paper, offering an attentive and interpretable approach to tabular data learning. It supports classification, regression, and multi-task…
AI Models
Neural Oblivious Decision Ensembles (NODE) is a Python library for deep learning on tabular data. It implements ensembles of oblivious, differentiable decision trees, offering a…
This GitHub repository provides the official implementation for the NeurIPS 2021 paper 'Revisiting Deep Learning Models for Tabular Data.' It explores deep learning architectures…
AI Models
This repository provides the official PyTorch implementation of the SAINT model, designed for improved neural networks on tabular data. It leverages row attention and contrastive…
AI Models
R-FCN is a region-based object detection framework that utilizes fully convolutional networks for accurate and efficient image analysis. It shares computation across the entire…
AI Models
SPP_net is a re-implementation of the Spatial Pyramid Pooling algorithm for deep convolutional networks in visual recognition. It aims to reproduce object detection results from a…
AI Models
Squeeze-and-Excitation Networks (SENet) is a deep learning model architecture that adaptively recalibrates channel-wise feature responses. It enhances performance by explicitly…
AI Models
The ShuffleNet Series repository offers a collection of highly efficient convolutional neural network models designed for mobile devices and resource-constrained environments. It…
AI Models
MnasNet automates the design of mobile machine learning models by incorporating speed constraints directly into the search reward function. This platform-aware approach identifies…
AI Models
This repository provides an implementation of ConvMixer, a convolutional neural network architecture for image recognition tasks. It is based on the paper "Patches Are All You…
AI Models
RepVGG is a powerful and simple ConvNet architecture that achieves high accuracy on ImageNet. It utilizes a VGG-style design with re-parameterization techniques, allowing for…
AI Models
MobileOne is an efficient neural network backbone designed for mobile devices. It optimizes for inference speed, achieving under 1 ms on an iPhone12 with high accuracy. This model…
AI Models
Vision GNN (ViG) is a PyTorch implementation of Vision Graph Neural Networks developed by Huawei Noah's Ark Lab. It offers efficient AI backbones for image processing tasks,…
AI Models
Deformable Convolutional Networks (DCN) enhance deep learning models by adaptively learning sampling offsets for convolutional kernels. This allows networks to better capture…
AI Models
PointPillars for KITTI object detection is a GitHub repository providing code to reproduce results from the PointPillars paper on the KITTI dataset. It's a fork of the SECOND…
AI Models
SECOND PyTorch is an open-source implementation of the SECOND object detection network for KITTI and NuScenes datasets. It utilizes sparse convolutions for efficient 3D object…
AI Models
Panoptic FPN unifies instance and semantic segmentation into a single network architecture. It enhances Mask R-CNN with a semantic segmentation branch using a shared Feature…
AI Models
Skip-Thought Vectors provides Sent2Vec encoder and training code based on the research paper "Skip-Thought Vectors." It enables the generation of dense vector representations for…
AI Models
InferSent is a sentence embedding method that generates semantic representations for English sentences. Trained on natural language inference data, it generalizes well to various…
AI Models
CTRL is a 1.6 billion-parameter conditional transformer language model for controllable text generation. It conditions on control codes to specify domain, entities, and…
AI Models
Wenxin is an AI assistant from Baidu, designed for a wide range of tasks including official document writing, academic papers, creative planning, and code programming. It…
AI Models
The BAAI Models platform offers a diverse collection of AI models for natural language processing, multimodal understanding, and protein analysis. Explore and download models for…
AI Models
DialoGPT is a large-scale pretrained language model for dialogue response generation. Developed by Microsoft, it leverages GPT-2 architecture and is trained on extensive Reddit…
AI Models
Meena is a 2.6 billion parameter neural conversational model designed for open-domain dialogue. It aims to provide more sensible and specific responses than existing chatbots,…
AI Models
GODEL is a large-scale pre-trained Transformer-based model for goal-directed dialog generation. It excels at response generation grounded in external text, enabling efficient…
AI Models
RETRO (Retrieval Enhanced Transformers) is an AI model that augments transformer architectures with retrieval capabilities. It accesses a vast database of text passages, including…
AI Models
BERT offers two multilingual models: Cased and Uncased, supporting over 100 languages. The Cased model is recommended for non-Latin alphabets and general use, while the Uncased…
AI Models
This repository provides a TensorFlow implementation of the BEGAN (Boundary Equilibrium Generative Adversarial Networks) model. It allows users to train and test generative models…
AI Models
LS-GAN, or Loss-Sensitive Generative Adversarial Networks, is a project focused on advancing GANs. It introduces a novel approach to loss functions, aiming for improved generation…
AI Models
The Computational and Biological Learning Lab (CBLL) at NYU's Courant Institute focuses on energy-based models (EBMs) for machine learning. Research explores EBMs for tasks like…
AI Models
This GitHub repository provides an official Chainer implementation for conditional image generation. It utilizes spectral normalization and a projection discriminator for…
AI Models
Facebook is a social networking platform that connects people with friends, family, and communities. Users can share updates, photos, and videos, join groups, and discover events.…
AI Models
The Journal of Machine Learning Research (JMLR) is a leading academic publication for machine learning research. It publishes high-quality papers on all aspects of machine…
AI Models
This repository provides a PyTorch implementation of MADE (Masked Autoencoder Density Estimation). It enables turning auto-encoders into autoregressive density models by masking…
AI Models
StyleGAN-XL is an AI model for generating high-resolution images from large, diverse datasets. It scales StyleGAN architecture for improved image synthesis quality and diversity.…
AI Models
StyleGAN3 is a generative adversarial network that eliminates "texture sticking" by overhauling signal processing. It achieves translation and rotation equivariance, enabling more…
AI Models
Baidu Research is currently undergoing website maintenance. This platform is dedicated to showcasing the advancements and research initiatives from Baidu's research arm. While the…
AI Models
Lyra is a novel, very low-bitrate speech codec developed by Google. It leverages machine learning to compress voice signals, enabling high-quality audio communication even on the…
AI Models
SoundStorm is an AI model for efficient, non-autoregressive audio generation. It produces high-quality audio two orders of magnitude faster than previous methods, maintaining…
AI Models
DimeNet and DimeNet++ are advanced neural network models for molecular graphs, focusing on directional message passing. These models, proposed in ICLR 2020 and NeurIPS-W 2020,…
AI Models
The MEGNet framework is an AI model designed for machine learning in crystals and molecules. It incorporates state variables like temperature and pressure, enables transfer…
AI Models
Crystal Graph Convolutional Neural Networks (CGCNN) is an AI model designed to predict material properties from crystal structures. It enables users to train custom models or…
AI Models
GluonTS is a Python package for probabilistic time series modeling, leveraging deep learning models built on PyTorch and MXNet. It facilitates accurate forecasting by generating…
AI Models
Prophet is an open-source forecasting procedure implemented in R and Python. It automates time series forecasting with fast, tunable models. Designed for data scientists and…
AI Models
LSTNet is a deep learning model designed for time series forecasting. It effectively models both long-term and short-term temporal patterns using a combination of recurrent neural…
AI Models
Autoformer is an AI model for long-term time series forecasting, leveraging decomposition transformers and auto-correlation mechanisms. It achieves state-of-the-art results across…
AI Models
The Informer2020 GitHub repository provides the PyTorch implementation for the Informer model, designed for efficient long sequence time-series forecasting. It features ProbSparse…
AI Models
FEDformer is a Frequency Enhanced Decomposed Transformer designed for efficient long-term time series forecasting. It achieves linear complexity with sequence length,…
AI Models
PatchTST is an official implementation of a Transformer-based model for long-term time series forecasting. It segments time series into patches and processes them independently,…
AI Models
LTSF-Linear is an official PyTorch implementation for "Are Transformers Effective for Time Series Forecasting?". It introduces a family of linear models (Linear, DLinear, NLinear)…
AI Models
TimesNet is a foundation model for general time series analysis, transforming 1D series into 2D space for enhanced modeling. It achieves state-of-the-art results in forecasting,…
AI Models
This repository provides code for reinforcement learning experiments detailed in the "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" paper. It enables…
AI Models
This repository contains the code for the NeurIPS 2017 paper "Prototypical Networks for Few-shot Learning." It provides an implementation of a novel approach to few-shot learning,…
AI Models
This repository provides PyTorch code for the CVPR 2018 paper 'Learning to Compare: Relation Network for Few-Shot Learning'. It focuses on the Few-Shot Learning aspect, offering…
This GitHub repository contains the code for the paper "Generative Adversarial Imitation Learning." It implements Trust Region Policy Optimization and provides scripts for…
AI Models
This GitHub repository contains the code for the "When to Trust Your Model: Model-Based Policy Optimization" paper. It provides implementations for model-based policy optimization…
AI Models
This repository contains experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models." It implements the PETS algorithm, combining…
AI Models
PlaNet is a model-based reinforcement learning algorithm that plans from pixels by learning latent dynamics. It efficiently predicts future rewards in a learned latent space,…
AI Models
OpenAI Five is a team of five neural networks developed by OpenAI. This AI system has demonstrated the capability to compete against and defeat amateur human teams in the complex…
AI Models
AlphaStar is an AI model that achieved Grandmaster level in StarCraft II, a complex real-time strategy game. It utilizes multi-agent reinforcement learning and imitation learning,…
AI Models
Policy gradient methods are a class of reinforcement learning algorithms that directly learn a policy function. Unlike value-based methods, they optimize a policy's parameters to…
AI Models
SARSA is a reinforcement learning algorithm for learning Markov decision process policies. It updates Q-values based on the agent's current state, action, reward, next state, and…
AI Models
Q-learning is a model-free reinforcement learning algorithm that trains an agent to assign values to actions based on current states. It optimizes decision-making by maximizing…
This project provides a Keras-based implementation of Relational Graph Convolutional Networks (R-GCNs). It is designed for semi-supervised node classification on directed…
AI Models
CompGCN is a PyTorch implementation of Composition-Based Multi-Relational Graph Convolutional Networks. It enables advanced graph representation learning for tasks like knowledge…
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