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100-days-of-ml-code

100 Days of ML Coding

100days

100 days of algorithms

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

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

circle-loss

tf2.0 implementation of circle loss

cs-notes

:books: Computer Science Learning Notes

cvpr18_detect_globally_refine_locally

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_metric_learning

Deep metric learning methods implemented in Chainer

deepcosegmentation.pytorch

[WIP] Siamese network based Deep Co-segmentation

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

faster_rcnn_pytorch

Faster RCNN with PyTorch

leetcode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

machinelearning

一些关于机器学习的学习资料与研究介绍

mmt

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

note

person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

python

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchlearning

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

reid_baseline

sota of reid model

semantic-aware-attention-based-deep-object-co-segmentation

Semantic Aware Attention Based Deep Object Co-segmentation

x-temporal

A general video understanding codebase from SenseTime X-Lab