Pinned Repositories
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
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, ... 🧠
awesome-qt-qml
A curated list of awesome Qt and QML libraries, resources, projects, and shiny things.
benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
ConvNeXt-V2
Code release for ConvNeXt V2 model
Data-Science-Notes
数据科学的笔记以及资料搜集
Deep-Learning
深度学习的实战项目
PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
pytorch-model-vision-z
RepVGG
RepVGG: Making VGG-style ConvNets Great Again
fhfeishi's Repositories
fhfeishi/PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
fhfeishi/RepVGG
RepVGG: Making VGG-style ConvNets Great Again
fhfeishi/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
fhfeishi/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, ... 🧠
fhfeishi/awesome-qt-qml
A curated list of awesome Qt and QML libraries, resources, projects, and shiny things.
fhfeishi/benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
fhfeishi/ConvNeXt-V2
Code release for ConvNeXt V2 model
fhfeishi/pytorch-model-vision-z
fhfeishi/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
fhfeishi/DeepLearningSystem
Deep Learning System core principles introduction.
fhfeishi/docs
Documentations for PaddlePaddle
fhfeishi/EANet
External Attention Network
fhfeishi/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
fhfeishi/EMO
Official PyTorch implementation of "Rethinking Mobile Block for Efficient Neural Models"
fhfeishi/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
fhfeishi/FastDeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
fhfeishi/FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
fhfeishi/free-programming-books
:books: Freely available programming books
fhfeishi/jittor
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
fhfeishi/machine-learning-projects
Centralized repository to store and handle all my machine learning projects
fhfeishi/MobileSAM
This is the offiicial code for MobileSAM project that makes Segment Anything Model lightweight and faster
fhfeishi/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
fhfeishi/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
fhfeishi/ParC-Net
[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"
fhfeishi/PlotNeuralNet
Latex code for making neural networks diagrams
fhfeishi/test-zero-site
动手学深度学习
fhfeishi/ToMe
A method to increase the speed and lower the memory footprint of existing vision transformers.
fhfeishi/yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
fhfeishi/yolov5-pytorch
这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。
fhfeishi/yolov7-pytorch
这是一个yolov7的库，可以用于训练自己的数据集。