machine-learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Repositories (1414)
An Open Source Machine Learning Framework for Everyone
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with c...
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both i...
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
List of Computer Science courses with video lectures.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The fastest path to AI-powered full stack observability, even for lean teams.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Tesseract Open Source OCR Engine (main repository)
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Financial data platform for analysts, quants and AI agents.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ....
scikit-learn: machine learning in Python
Deep Learning for humans
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google D...
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Ultralytics YOLO 🚀
The world's simplest facial recognition api for Python and the command line
Deepfakes Software For All
100 Days of ML Coding
The Julia Programming Language
Learn how to develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions....
A community-supported supercharged document management system: scan, index and archive all your documents
AI-Powered Photos App for the Decentralized Web 🌈💎✨
Query Engine for AI Analytics: Build self-reasoning agents across all your live data
We write your reusable computer vision tools. 💜
Google Research
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
吴恩达老师的机器学习课程个人笔记
Cross-platform, customizable ML solutions for live and streaming media.
Caffe: a fast open framework for deep learning.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Vane is an AI-powered answering engine.
💫 Industrial-strength Natural Language Processing (NLP) in Python
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Visualizer for neural network, deep learning and machine learning models
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover...