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100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-chinese-version

Chinese Translation for Machine Learning Infographics

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

arctic-captions

awesome-awesomeness

A curated list of awesome awesomeness

beginlearning

Practices for machine learning

bidirectional-lstm-crf-for-clinical-concept-extraction

Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data

blstm-for-supervised-sequence-recognition

General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data

caffe-windows

Configure Caffe in one hour for Windows users.

char-rnn-chinese

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

chinese_wordseg_keras

基于深度学习的中文分词尝试

chinesecodinginterviewappendix

The source code for the appendix part of the Chinese version of the book Coding Interviews

ciml

A Course in Machine Learning

cnn_sentence

CNNs for sentence classification

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

conv-knrm

Convolutional Neural Networks for So-Matching N-Grams in Ad-hoc Search

convolutional-attention

Repository for the code of the "A Convolutional Attention Network for Extreme Summarization of Source Code" paper

coursera-ml-andrewng-notes

crcn

Coherence + Recurrent Neural Network + Convolutional Neural Network

cs231n.github.io

Public facing notes page

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，近30万字。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

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepst

Deep Learning for Spatio-Temporal Data

deepst-1

Reconstruction of DeepST

dl4nlp

DL4NLP is a Python package inspired by a course at Stanford University by Richard Socher.

dynamic-memory-networks-in-theano

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

fast-rcnn

Fast R-CNN

hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

hierarchical-neural-autoencoder