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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

anomaly-detection-patchsvdd-pytorch

anomaly_inspection_datasets

A references and discriptions for anomaly, inspection, defect detection datasets.

autoflow

A sequence normalizing flow framework with memory saving, automatic Jacobian tracking, and object-oriented programming features.

awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-cv-foundational-models

awesome-mamba-papers

Awesome Papers related to Mamba.

awesome-normalizing-flows

Awesome resources on normalizing flows.

awesome-sam

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

awesome-sam1

A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

awesome-snn-conference-paper

This repo collects top conference papers, codes about Spiking Neural Networks for anyone who wants to do research on it.

awesome-u-net

Official repo for Medical Image Segmentation Review: The success of U-Net

coco2yolo

coco, yolo eta. dataset process

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

cvpr2023_top_open_papers

This repository is a curated collection of the most exciting and influential CVPR 2023 opensource works [Paper + Code].🔥

dalle-mini

DALL·E Mini - Generate images from a text prompt

dcnv2

Deformable Convolutional Networks v2 with Pytorch

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning

A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

disentangling-correlated-factors

A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dl-demos

Demos for deep learning

easyfl

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

federatedlearningusingpysyft

fl-zoo

Federated learning algorithms

flower

Flower - A Friendly Federated Learning Framework