rafmacalaba

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

cookiecutter

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

magenta

Magenta: Music and Art Generation with Machine Intelligence

backtrader

Python Backtesting library for trading strategies

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

awesome-rl

Reinforcement learning resources curated

darts

A python library for user-friendly forecasting and anomaly detection on time series.

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

pytorch-forecasting

Time series forecasting with PyTorch

Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

docker-python

Kaggle Python docker image

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Data-Science-Competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

scalable-data-science

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

fast_tabnet

TabNet for fastai

pytorch-ts

Tutorials on using encoder decoder architecture for time series forecasting

sagemaker-deep-demand-forecast

Using Deep Learning for Demand Forecasting with Amazon SageMaker

Kaggle-Demand-Forecasting-Models

Demand Forecasting Models for Kaggle competition

image-ndd-lsh

Near-duplicate image detection using Locality Sensitive Hashing

Halite

Kaggle Halite RL challenge - Provisional first place solution

orderbook_modeling

Example of order book modeling.

StoreItemDemand

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

Deep-RL-on-Gfootabll-Google-football-OpenAI-style-environment

This project shall be based on setting up of Google Football Research Environment as an OpenAI gym for code purposes.

Gfootball_Model_Env

Gfootball_Selfplay_multiagent

RL-GFootball

TransferRL-on-Gfootball