sunyong2016

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pumpkin-book

《机器学习》（西瓜书）公式详解

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

ML-Papers-Explained

Explanation to key concepts in ML

pytorch-Deep-Learning

Deep Learning (with PyTorch)

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

pytorch-cifar

95.47% on CIFAR10 with PyTorch

notes-linear-algebra

线性代数笔记

lightly

A python library for self-supervised learning on images.

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Deep-Learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

tuning_playbook_zh_cn

一本系统地教你将深度学习模型的性能最大化的战术手册。

Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

SearchEngine

搜索引擎原理

FixMatch-pytorch

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

Awesome-Novel-Class-Discovery

A list of papers that studies Novel Class Discovery

deep_learning_for_vision_systems

This repository accompanies the book "Deep Learning for Vision Systems".

AutoNovel

"Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

DTC

"Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)

DisCo-pytorch

Code for DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning

RSICC

Official LEVIR-CC dataset and Pytorch implementation for Remote Sensing Image Change Captioning With Dual-Branch Transformers: A New Method and a Large Scale Dataset

Machine-Learning-In-Numpy

纯python实现机器学习算法,非套用sk-learn

pytorch_GlobalPointer_triple_extraction

基于pytorch的GlobalPointer进行三元组抽取。

ProtoNet-Paddle

论文复现：Prototypical Networks for Few-shot Learning

understanding-CLIP

Repo from the "Learning with limited labeled data" seminar @ Uni of Tuebingen. A collection of notes, notebooks and slideshows to understand CLIP and Natural language supervision.

NWPU-Captions