Repository navigation
机器学习
- Website
- Wikipedia
- 维基百科
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.
An Open Source Machine Learning Framework for Everyone
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Open source platform for the machine learning lifecycle
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Open standard for machine learning interoperability
Machine Learning Toolkit for Kubernetes
AI app store powered by 24/7 desktop history. open source | 100% local | dev friendly | 24/7 screen, mic recording
A curated list of references for MLOps
Low-code framework for building custom LLMs, neural networks, and other AI models
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/README.md)
An open-source, low-code machine learning library in Python
Community interface for generative AI
Build, Manage and Deploy AI/ML Systems
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai