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additive-margin-softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

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, ... 🧠

anylabeling

Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!

autodistill

Images to inference with no labeling (use foundation models to train supervised models)

awesome-incremental-learning

Awesome Incremental Learning

awesome-longtailed-learning

A codebase and a curated list of awesome deep long-tailed learning.

awesome-novel-category-discovery

awesome-novel-class-discovery

A list of papers that studies Novel Class Discovery

awesome-remote-sensing-foundation-models

carrot

Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点，当前100+站点

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.

dual-mixup-regularized-learning-for-adversarial-domain-adaptation

Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch

dynamicmlp

Official Codes and Pretrained Models for Dynamic MLP, CVPR2022, https://arxiv.org/abs/2203.03253

external-attention-pytorch

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

gatn

code of Graph Attention Transformer Network for Multi-Label Image Classification

metaformer

A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”

mindspore-yolov5

mx-lsoftmax

mxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.

pytorch-adacos

PyTorch implementation of AdaCos

satclip

PyTorch implementation of SatCLIP

sphereface

🍑 This is a MNIST Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR 2017.

tokenmix

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors