Showing 36 of 2064 projects
A Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and machine learning.
A Python library for composable transformations of numerical programs: automatic differentiation, vectorization, and JIT compilation to GPU/TPU.
A 10-week, 20-lesson curriculum teaching data science fundamentals through project-based learning and quizzes.
A free and open-source enterprise resource planning (ERP) system for managing accounting, inventory, manufacturing, and more.
An all-in-one open-source platform for product analytics, feature flags, session replay, experiments, and more to help build successful products.
A modern tool for Python dependency management and packaging that replaces setup.py, requirements.txt, and Pipfile.
An umbrella project providing tools and libraries for automating web browsers via the W3C WebDriver specification.
A command-line tool that adds an OCR text layer to scanned PDF files, making them searchable and copy-pasteable.
An AI developer companion that builds full applications step-by-step with developer oversight, aiming to write 95% of the code.
Industrial-strength Natural Language Processing library for Python, featuring pretrained pipelines for 70+ languages and production-ready training.
The fundamental package for scientific computing with Python, providing powerful N-dimensional arrays and mathematical functions.
120+ interactive Python coding interview challenges with Anki flashcards, focusing on algorithms and data structures.
Collects a dossier on a person by checking for accounts on 3000+ websites using only a username.
A deep learning framework to pretrain and finetune any AI model on any hardware with zero code changes.
A deep learning framework to pretrain and finetune any AI model at any scale with zero code changes.
A PyTorch wrapper that automates engineering boilerplate for scalable AI model training and deployment.
A unified hosts file aggregator that blocks ads, malware, and other unwanted content by merging reputable sources.
A powerful and flexible toolkit for building Web APIs in Django with browsable interfaces.
A Python code collection and textbook for robotics algorithms, featuring implementations for localization, mapping, SLAM, path planning, and control.
A comprehensive collection of Python sample codes and a textbook for robotics algorithms, covering localization, mapping, SLAM, path planning, and control.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.
A top-down, hands-on daily study plan for software engineers transitioning into machine learning roles.
An open-source data visualization and dashboard platform that connects to any data source, enabling teams to query, visualize, and share data insights.
An open-source data visualization and dashboard platform that connects to any data source, enabling teams to query, visualize, and share data insights.
A Python library for building full-stack web applications with frontend and backend code entirely in Python.
A scalable, portable, and distributed gradient boosting library for efficient machine learning across multiple languages and platforms.
Open-source vector database and embedding store for building AI applications with semantic search.
A library for automatically generating command line interfaces (CLIs) from any Python object.
An introduction to Bayesian inference and probabilistic programming using Python and PyMC, with a computational-first approach.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
Data validation and settings management using Python type hints.
A Python library for data validation and settings management using Python type hints.
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