Jonathan Zhouhan LIN's repositories
deeplearn_hsi
Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR
distance-parser
Source code for ``Straight to the Tree: Constituency Parsing with Neural Syntactic Distance'' published at ACL 2018
SelfAttentiveSentEmbed
Source code for ``A Structured Self-Attentive Sentence Embedding'' published in ICLR 2017
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
baby-ai-game
Prototype of a game where a reinforcement learning agent is trained through natural language instructions
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
EffectiveTensorflow
TensorFlow tutorials and best practices.
pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
pytorch_GAN_zoo
A mix of GAN implementations including progressive growing
Structured-Self-Attentive-Sentence-Embedding
An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' published by IBM and MILA.
SurviveSJTUManual
更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
TreebankPreprocessing
Python scripts preprocessing Penn Treebank and Chinese Treebank
vim-cheatsheet
My personal vim cheatsheet