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A PyTorch library and evaluation platform for end-to-end compression research
An elegant PyTorch deep reinforcement learning library.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Models and examples built with TensorFlow
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
There are some papers about image compression
CS224n_learning_notes_and_assignments( winter,2019)
Complete solutions for Stanford CS224n, winter, 2019
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
vehicle re-identification baseline for veri and vehicleID dataset
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
Awesome Person Re-identification
Code repository for Self-supervised Structure-sensitive Learning, CVPR'17
Codes for ACM MM paper: AdaCompress: Adaptive compression for online computer vision services
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
TensorFlow Implementation of Deep Mutual Learning
A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。
Adaptive Deep Learning Model Selection On Embedded Systems
Torchreid: Deep learning person re-identification in PyTorch.
A Large-Scale Dataset for Vehicle Re-Identification in the Wild
Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现
collection of dataset&paper&code on Vehicle Re-Identification
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.