🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

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Image-to-Image Translation in PyTorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Graph Neural Network Library for PyTorch

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

PyTorch implementations of Generative Adversarial Networks.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Pytorch implementation of convolutional neural network visualization techniques

A faster pytorch implementation of faster r-cnn

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Efficiently computes derivatives of NumPy code.

A Collection of Variational Autoencoders (VAE) in PyTorch.

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Official PyTorch implementation of StyleGAN3

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Uplift modeling and causal inference with machine learning algorithms

Graph Convolutional Networks in PyTorch

SwinIR: Image Restoration Using Swin Transformer (official repository)

[CVPR2020] Adversarial Latent Autoencoders

Release for Improved Denoising Diffusion Probabilistic Models

A PyTorch implementation of the YOLO v3 object detection algorithm

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)