Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python implementation of "Region Filling and Object Removal" by A. Criminisi et al.

Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection (AAAI2021)

A treasure chest for image classification powered by PaddlePaddle

CV 论文笔记

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Summaries of the papers on Object detection

OpenMMLab Detection Toolbox and Benchmark

Object detection and instance segmentation toolkit based on PaddlePaddle.

Label Rotated Rect On Images for training

Destruction and Construction Learning for Fine-grained Image Recognition

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

腾讯广告大赛2020

Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

2020年全国水下机器人（湛江）大赛

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

BING: Binarized Normed Gradients for Objectness Estimation at 300fps

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

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

YSDA course in Natural Language Processing

Piotr's Image & Video Matlab Toolbox

易观性别年龄预测第一名解决方案

The source code of the ECCV 2018 paper: Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data

A c++ implementation of pdollar's Structured Edge Detection Toolbox. Written by opencv c++.