artificial-intelligence

A complete daily plan for studying to become a machine learning engineer.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Roadmap to becoming an Artificial Intelligence Expert in 2022

The most intuitive, flexible, way to build PyTorch models and lightning apps that glue together everything around the models, without the pain of infrastructure, cost management, scaling and everything else.

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

An open source cybersecurity protocol for syncing decentralized graph data.

Investment Research for Everyone, Anywhere.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Best Practices on Recommendation Systems

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

Python Implementation of Reinforcement Learning: An Introduction

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

In-Database Machine Learning

AI Code Completions

TensorFlow-based neural network library

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Tutorials, assignments, and competitions for MIT Deep Learning related courses.