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albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

algorithm018

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

arcface-pytorch

auto-reid-fast

A pytorch implementation of using DARTS to search better structure for Re-ID

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

chest-x-ray-images-classification

a simple CNN achieved best performence on Kaggle dataset chest X-Ray Images(Penumonia)

chineseocr

yolo3+ocr

cvtc

Attributes Guided Feature Learning for Vehicle Re-identification

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deeplearningexamples

Deep Learning Examples

deepseek-v2

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

faiss

A library for efficient similarity search and clustering of dense vectors.

fashionmnist

fast-reid

SOTA ReID Methods and Toolbox

fastmaskrcnn

Mask RCNN in TensorFlow

helloword

first excersize

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

iccv2019

ICCV 2019 papers/new汇总帖，极市团队整理

license-plate-recognition

License Plate Recognition For Car With Python And OpenCV

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

mmdetection

Open MMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

onnx

Open standard for machine learning interoperability

onnx-tensorrt

ONNX-TensorRT: TensorRT backend for ONNX

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator