Top #Science Tools & Software

developer-roadmap

github

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

ML-For-Beginners

github

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

cs-video-courses

github

List of Computer Science courses with video lectures.

PaddleOCR

github

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

awesome-scalability

github

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

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

MinerU

github

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

professional-programming

github

A collection of learning resources for curious software engineers

julia

github

The Julia Programming Language

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.

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.

C-Plus-Plus

github

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

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.