The branch of computer science dealing with the reproduction, or mimicking of human-level intelligence, self-awareness, knowledge, conscience, and thought in computer programs.
A complete daily plan for studying to become a machine learning engineer.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Investment Research for Everyone, Anywhere.
An open source cybersecurity protocol for syncing decentralized graph data.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Best Practices on Recommendation Systems
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
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 learni…
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
In-Database Machine Learning
Python Implementation of Reinforcement Learning: An Introduction
500 AI Machine learning Deep learning Computer vision NLP Projects with code
AI Code Completions
TensorFlow-based neural network library