[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Object detection and instance segmentation toolkit based on PaddlePaddle.

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

汇总各大互联网公司容易考察的高频leetcode题🔥

Example code for the book Fluent Python

[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

All Algorithms implemented in Python

一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 😠😣😨😀🙁😯😑

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

End-to-end learning of deep visual representations for image retrieval

A curated list of resources for Learning with Noisy Labels

An out-of-box human parsing representation extractor. This is also the CVPR2019 3rd LIP challenge winner solution!

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

Google AI Research

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Implements the unsupervised pre-training of convolutional neural networks

This is a PyTorch implementation of the paper Colorful Image Colorization

My best practice of training large dataset using PyTorch.

Deep Clustering