Tim Wee's repositories
chatbot-retrieval
Dual LSTM Encoder for Dialog Response Generation
cryptominisat
An advanced SAT Solver
dan
Deep Averaging Networks
dynet_tutorial_examples
Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
emacs.d
An Emacs configuration bundle with batteries included
falcon
Chrome extension for full text history search!
hector
Golang machine learning lib
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
nmt-list
A list of Neural MT implementations
nmt-tips
A tutorial about neural machine translation including tips on building practical systems
PalDB
An embeddable write-once key-value store written in Java
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pycosat
Python bindings to picosat (a SAT solver)
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
RNNLG
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
sempre
Semantic Parser with Execution
stanfordacm
Stanford ACM-ICPC related materials