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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

glcic-pytorch

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

hhl

Generalizing A Person Retrieval Model Hetero- and Homogeneously ECCV 2018

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

json2yolo

Convert JSON annotations into YOLO format.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

license_plate_recognition

车牌识别项目

m2det-keras

这是一个M2det的Keras实现的库，可以实时检测与训练。

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mgn-pytorch

Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmdetection_tools

mmdetection_visualize

visualize training result for mmdetection 訓練文件可視化, PR curve绘制， F1-score计算

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

muzero-general

MuZero

nonuniform-to-uniform-quantization

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.

open-reid

Open source person re-identification library in python

person-re-ranking

Person Re-ranking (CVPR 2017)

person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

person_reid_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

person_search

Joint Detection and Identification Feature Learning for Person Search

ptgan

The code of PTGAN

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pycharm

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

pytorch-cifar

95.04% on CIFAR10 with PyTorch