Machine Learning
Showing 36 of 645 projects
A 10-week, 20-lesson curriculum teaching data science fundamentals through project-based learning and quizzes.
Cross-platform framework for building customizable on-device machine learning pipelines for live and streaming media.
A fast open framework for deep learning with a focus on expression, speed, and modularity.
Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
A framework for programming language models with Python instead of prompting, enabling modular AI systems with automatic prompt optimization.
A privacy-focused AI answering engine that runs on your own hardware, combining web search with local and cloud LLMs.
Industrial-strength Natural Language Processing library for Python, featuring pretrained pipelines for 70+ languages and production-ready training.
A modular PyTorch library for state-of-the-art diffusion models to generate images, audio, and 3D molecular structures.
A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
A collection of concise PyTorch tutorials for deep learning researchers, with most models implemented in under 30 lines of code.
Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility and transparency.
A deep learning framework to pretrain and finetune any AI model at any scale with zero code changes.
A deep learning framework to pretrain and finetune any AI model on any hardware with zero code changes.
A PyTorch wrapper that automates engineering boilerplate for scalable AI model training and deployment.
A visual roadmap outlining the skills, technologies, and learning paths to become an Artificial Intelligence expert in 2022.
A ready-to-use OCR Python library supporting 80+ languages and popular writing scripts like Latin, Chinese, Arabic, and Cyrillic.
A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.
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 curated collection of papers and articles from companies sharing real-world data science and machine learning applications in production.
A top-down, hands-on daily study plan for software engineers transitioning into machine learning roles.
A scalable, portable, and distributed gradient boosting library for efficient machine learning across multiple languages and platforms.
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.
A curated list of awesome deep learning tutorials, projects, and communities.
A curated list of awesome deep learning tutorials, projects, and communities.
Open-source vector database and embedding store for building AI applications with semantic search.
An open-source data labeling tool for annotating audio, text, images, videos, and time series with a simple UI and standardized output.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
An array framework for machine learning on Apple silicon with unified memory and dynamic graph construction.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLM applications and machine learning models.
A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.