Machine Learning
Showing 36 of 1430 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 privacy-focused AI answering engine that runs on your own hardware, combining web search with local and cloud LLMs.
A framework for programming language models with Python instead of prompting, enabling modular AI systems with automatic prompt optimization.
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 modular PyTorch library for state-of-the-art diffusion models to generate images, audio, and 3D molecular structures.
Industrial-strength Natural Language Processing library for Python, featuring pretrained pipelines for 70+ languages and production-ready training.
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 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 visual roadmap outlining the skills, technologies, and learning paths to become an Artificial Intelligence expert in 2022.
A curated collection of papers and articles from companies sharing real-world data science and machine learning applications in production.
A ready-to-use OCR Python library supporting 80+ languages and popular writing scripts like Latin, Chinese, Arabic, and Cyrillic.
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.
A scalable, portable, and distributed gradient boosting library for efficient machine learning across multiple languages and platforms.
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 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.
An open-source data labeling tool for annotating audio, text, images, videos, and time series with a simple UI and standardized output.
An array framework for machine learning on Apple silicon with unified memory and dynamic graph construction.
An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLM applications and machine learning models.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
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.
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