Quantitative research and educational materials

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

The QuantLib C++ library

Zipline, a Pythonic Algorithmic Trading Library

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 ;)

Code repository for the Animal AI Olympics competition

Master the command line, in one page

Deep Learning for humans

Unit Testing for pytorch, based on mltest

An Efficient implementation of TransE and its extended models for Knowledge Representation Learning

emoji2vec: Learning Emoji Representations from their Description

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017"

Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events

Representation learning for link prediction within social networks

Run Keras models in the browser, with GPU support using WebGL

PyTorch Tutorial for Deep Learning Researchers

Jack the Reader

TensorFlow Tutorials with YouTube Videos

TensorFlow Tutorial and Examples for Beginners with Latest APIs

An open-source NLP research library, built on PyTorch.

Reddit Machine Learning: Tagging Challenge