Popular GitHub Repositories for Data 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!

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.

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.

? 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.

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.

? Data Versioning and ML Experiments

A curated list of references for MLOps

The "Python Machine Learning (1st edition)" book code repository and info resource

An open-source NLP research library, built on PyTorch.

?Highlighting the top ML papers every week.

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

Open Machine Learning Course