Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
Repository Index
47,133 repositories indexed
73–96 of 307 · Most stars
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
- machine-learning-algorithms
- code
- statistical-learning-method
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
Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
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.
- kedro
- hacktoberfest
- mlops
- python
Fast and Accurate ML in 3 Lines of Code
Open source annotation tool for machine learning practitioners.
- natural-language-processing
- machine-learning
- annotation-tool
- python
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
- cloud-computing
- deep-learning
- gpu
- hyperparameter-tuning
Open Machine Learning Course
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression
- adaboost
- logistic
- svm
- smo
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
Bindu: The identity, communication, and payments layer for AI agents.
- agent-communication
- autonomous-agents
- agent-orchestration
- a2a
TensorFlow-based neural network library
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
- data-science
- python
- machine-learning
- pycaret
A python library for user-friendly forecasting and anomaly detection on time series.
- python
- time-series
- forecasting
- machine-learning
Deep learning library featuring a higher-level API for TensorFlow.
AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
Deep universal probabilistic programming with Python and PyTorch
- python
- pytorch
- machine-learning
- bayesian
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
- python
- machine-learning
- natural-language-processing
- web-mining