Easy design, testing, and deployment of optical data center networks for everyone.

LLM101n: Let's build a Storyteller

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

Simple tutorials using Google's TensorFlow Framework

Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)

Repository with files somehow relevant to the Kaggle competition https://www.kaggle.com/c/allstate-claims-severity

Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge

LeetCode Problems' Solutions

LeetCode problems in Python

Over 400 software engineering companies that are easy to apply to

Python binding for Microsoft LightGBM

Code for the Kaggle Ensembling Guide Article on MLWave

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Lightweight library to build and train neural networks in Theano

XGBoost Feature Interactions & Importance

A Python implementation of global optimization with gaussian processes.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Python code to replicate the results on HIGGS and SUSY benchmarks using pylearn2 and theano.