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100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-1

100 Days of ML Coding

air_writing

Online Hand Writing Recognition using BLSTM

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

annotated-transformer_codes

A partial runnable code repo for annotated-transformer

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

books

This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.

books-1

书籍收藏

chainer-chemistry

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

cmake-demo

《CMake入门实战》源码

convolutional-prototype-learning

An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"

cpp_primer_answers

《C++ Primer》第五版中文版习题答案

cs231n

cs231n assignments

cs231n-1

斯坦福 cs231n 作业代码实践

cs231n.github.io

Public facing notes page

data-structure

《数据结构》-严蔚敏.吴伟民-教材源码与习题解析

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral

deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deepinf

DeepInf: Social Influence Prediction with Deep Learning

deeplab_v2

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

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18个章节，50余万字。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

dgcnn

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgl-gtc2019

Materials for DGL Instructor-led training at GTC 2019

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

emnlp2017_doc

code for our EMNLP 2017 paper "DOC: Deep Open Classification of Text Documents"

fastai

The fast.ai deep learning library, lessons, and tutorials