An Industrial Grade Federated Learning Framework

Natural Language Processing Tutorial for Deep Learning Researchers

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Learning Named Entity Tagger from Domain-Specific Dictionary

Real time stock and option data.

Using GANs to create Art

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Master programming by recreating your favorite technologies from scratch.

🦉 Data Versioning and ML Experiments

Python Implementations of Word Sense Disambiguation (WSD) Technologies.

Markdown Cheatsheet for Github Readme.md

A browser automation framework and ecosystem.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A customisable 3D platform for agent-based AI research

A domain specific language to express machine learning workloads.

Autocode CLI and standard library tooling

Deep universal probabilistic programming with Python and PyTorch

Magenta: Music and Art Generation with Machine Intelligence

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Convolutional Neural Networks

Backtesting toolbox for trading strategies - DEPRECATED

NR and FR IQA models based on Deep Convolutional Neural Networks

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

ECCV2016 - fine-grained photo aesthetics rating with interpretability

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Minimal examples of data structures and algorithms in Python