Stars
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Algorithms for Competitive Programming: Source code for exercises and algorithms
Model-based design and verification for robotics.
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 Syst…
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
Z Forcing: Training Stochastic RNN's, NIPS'17
Recent Deep Learning papers in NLU and RL
Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
Simple cohorts analysis and retention graphs in your Rails app
Convolutional Neural Network for Text Classification in Tensorflow
Climbing tracker app for Android and Android Wear, using Firebase
Node.js samples for Google Cloud Platform products.
Collect your thoughts and notes without leaving the command line.
The "Python Machine Learning (1st edition)" book code repository and info resource
scikit-learn: machine learning in Python
An Open Source Machine Learning Framework for Everyone