data-science

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

StellarGraph - Machine Learning on Graphs

Quantitative analysis, strategies and backtests

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

FFCV: Fast Forward Computer Vision (and other ML workloads!)

C++ DataFrame for statistical, financial, and ML analysis in modern C++

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！

A visualization library for Rust

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.

Single-cell analysis in Python. Scales to >100M cells.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

A Python library that helps data scientists to infer causation rather than observing correlation.

Machine learning metrics for distributed, scalable PyTorch applications.

🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos

Interactive Go programming with Jupyter