Popular GitHub Repositories for Reproducible Science

Deep Learning for humans

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

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

Roadmap to becoming an Artificial Intelligence Expert in 2022

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

VIP cheatsheets for Stanford's CS 229 Machine Learning

? Discover the latest machine learning / AI courses on YouTube.

Code for Machine Learning for Algorithmic Trading, 2nd edition.