The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
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The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Minimal and clean examples of machine learning algorithms implementations
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Fast and Accurate ML in 3 Lines of Code
Open source annotation tool for machine learning practitioners.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Open Machine Learning Course
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Build, Manage and Deploy AI/ML Systems
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
Bindu: The identity, communication, and payments layer for AI agents.
TensorFlow-based neural network library
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A python library for user-friendly forecasting and anomaly detection on time series.
Deep learning library featuring a higher-level API for TensorFlow.
AutoML library for deep learning
Deep universal probabilistic programming with Python and PyTorch
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
A curated list of practical financial machine learning tools and applications.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀