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

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

A unified framework for 3D content generation.

Google AI 2018 BERT pytorch implementation

95.47% on CIFAR10 with PyTorch

Compute FID scores with PyTorch.

Official implementation of Character Region Awareness for Text Detection (CRAFT)

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

Transformer: PyTorch Implementation of "Attention Is All You Need"

POT : Python Optimal Transport

SAM: Sharpness-Aware Minimization (PyTorch)

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

LSUN Dataset Documentation and Demo Code

Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)

Evaluate three types of task shifting with popular continual learning algorithms.

Gaussian mixture models in PyTorch.

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"

Repository for the Deep One-Class Classification ICML 2018 paper

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023

Class-Incremental Learning: A Survey (TPAMI 2024)

PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution