Mdahao's repositories
Awesome-datafree-KD
2019~2021年间Zero-shot/Data-free知识蒸馏的论文合集
Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
CVPR2021-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
DeepEmbeding
图像检索和向量搜索,similarity learning,compare deep metric and deep-hashing applying in image retrieval
DeepHash
An Open-Source Package for Deep Learning to Hash (DeepHash)
DeepHash-pytorch
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
deeplearning-models
A collection of various deep learning architectures, models, and tips
deit
Official DeiT repository
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
gcm-cf
[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition
interview_internal_reference
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
nanopq
Pure python implementation of product quantization for nearest neighbor search
Python
Demo and other Python3 code
python_developer_tools
python_developer_tools
pytorch-beginner
pytorch tutorial for beginners
Pytorch-implementation-of-Mobile-Former
Simple implementation of Mobile-Former on Pytorch
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Pytorch-Project-Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Revisiting_Deep_Metric_Learning_PyTorch
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
Self-Knowledge-Distillation-Lib
Pytorch Implementations of some Self-Knowledge Distillation methods and regularization methods
sparse-neighbors-search
A python/c++ implementation of an approximate nearest neighbor search for sparse data structures based on the idea of local sensitiv hashfunctions.
spherecluster
Clustering routines for the unit sphere
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
vqvae
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)