Top #data-science Tools & Software

ML-For-Beginners

github

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

scikit-learn

github

scikit-learn: machine learning in Python

keras

github

Deep Learning for humans

30-Days-Of-Python

github

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

pandas

github

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Made-With-ML

github

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

airflow

github

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

streamlit

github

Streamlit — A faster way to build and share data apps.

gradio

github

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

ray

github

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

spaCy

github

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

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

github

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

ML-From-Scratch

github

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.

pytorch-lightning

github

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

AI-Expert-Roadmap

github

Roadmap to becoming an Artificial Intelligence Expert in 2022

data-science-ipython-notebooks

github

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.

awesome-datascience

github

:memo: An awesome Data Science repository to learn and apply for real world problems.

applied-ml

github

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

d2l-en

github

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

fastbook

github

The fastai book, published as Jupyter Notebooks

pandas-ai

github

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

best-of-ml-python

github

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

prefect

github

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

recommenders

github

Best Practices on Recommendation Systems