A next-generation curated knowledge sharing platform for data scientists and other technical professions.

Machine Learning project with focuses on using numerous regression methods to predict commodity price movement.

A Workshop for ML/DL, simple tasks to show basic concepts in the filed :)

Jupyter notebooks in the terminal

mlpack: a fast, header-only C++ machine learning library

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

Simple tutorials using Keras Framework

Papers & presentation materials from Hugging Face's internal science day

Joblib Apache Spark Backend

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

A python tool for compressing images with fourier transforms

Curated list of awesome GAN applications and demo

VIP cheatsheets for Stanford's CS 230 Deep Learning

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

VIP cheatsheets for Stanford's CS 229 Machine Learning

Representation learning on large graphs using stochastic graph convolutions.

Simple reference implementation of GraphSAGE.

Reinforcement Learning Cheat Sheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

Experiments in machine learning on graph databases

This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Productivity Tools for Plotly + Pandas

Visualization of Google's autocomplete

Simple and flexible progress bar for Jupyter Notebook and console

Data Apps & Dashboards for Python. No JavaScript Required.

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"