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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

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

alphafold

Open source code for AlphaFold.

aml-bayes

homework of coursera bayes course. https://www.coursera.org/learn/bayesian-methods-in-machine-learning/home/welcome

augly

A data augmentations library for audio, image, text, and video.

awesome-jax

List of awesome JAX resources

awesome-mlops

A curated list of references for MLOps

bayesian-methods-for-machine-learning

This repository contains Ipython notebooks from the course 'Bayesian Methods for machine learning', part 3 of Advance machine learning Specialisation offered by higher school of economics at coursera.

bayesian-methods-for-machine-learning-1

Bayesian Methods for Machine Learning

bayesian-methods-for-machine-learning-2

Bayesian Methods for Machine Learning

bayesian-methods-for-ml

My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)

bayesian-methods-in-machine-learning

Assignments and project from online course on Bayesian Methods in Machine Learning

best_ai_papers_2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

cockpit

Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

deepchecks

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively checking your machine learning models and data with minimal effort.

dl-visuals

Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

ercot_scraper

A web scraper that extracts ERCOT grid and market information

galyleo-examples

This is a set of examples designed to outline the capabilities of, and teach people how to use, Galyleo Dashboards in conjunction with Jupyter Notebooks.

github-playground

A safe place to experiment with git & GitHub in a group setting

gnnpapers

Must-read papers on graph neural networks (GNN)

hello-world

lightly

A python library for self-supervised learning on images.

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

matrixprofile

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

mbrl-lib

Library for Model Based RL

merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

missing-data-workshop

Matt Brems' Missing Data Workshop

model_search

netron

Visualizer for neural network, deep learning, and machine learning models

neuraldb

Database Reasoning Over Text project for ACL paper