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Machine Learning

1,193 items from josephmisiti/awesome-machine-learning ★74,572

  1. MXNet github.com

    Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, JavaScript and more. website

  2. CNTK github.com

    Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. [Boost]

  3. dvc github.com

    Data Version Control | Git for Data & Models | ML Experiments Management.

  4. Polyaxon github.com

    A platform for reproducible and scalable machine learning and deep learning.

  5. albumentations github.com

    Fast image augmentation library and easy-to-use wrapper around other libraries.

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  6. sympy github.com

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  7. TensorWatch github.com

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  8. annoy github.com

    is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data.

  9. stable-baselines3 github.com

    A set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines.

  10. Shogun github.com

    Machine learning toolbox.

  11. gymnasium github.com

    An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym).

  12. keras github.com

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  13. statsmodels github.com

    Statistical modeling and econometrics in Python.

  14. natural github.com

    Natural language facility.

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  15. sktime github.com

    A unified framework for machine learning with time series.

  16. Karate Club github.com

    An unsupervised machine learning library for graph-structured data.

  17. MindsDB github.com

    In-database Machine Learning.

  18. jieba github.com

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  19. detectron2 github.com

    A next-generation research platform for object detection and segmentation.

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  20. spacy github.com

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  21. evidently github.com

    Evaluate and monitor ML models from validation to production.

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  22. ORYX github.com

    Lambda architecture platform built on Apache Spark and Apache Kafka with specialization for real-time large scale machine learning.

  23. PyTorch Lightning github.com

    The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

  24. Feast github.com

    A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.

  25. CCV github.com

    C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD]

  26. scikit-opt github.com

    Heuristic Algorithms for optimization.

  27. Fastai github.com

    The fastai library simplifies training fast and accurate neural nets using modern best practices.

  28. DEAP github.com

    Distributed Evolutionary Algorithms in Python.

  29. Aim github.com

    open-source AI metadata tracker for experiments and training runs.

  30. darknet github.com

    Open source neural network framework written in C and CUDA. [PublicDomain] website

  31. promptfoo github.com

    Open-source framework for testing and red teaming LLM applications. Compare prompts, test RAG architectures, run multi-turn adversarial attacks, and catch security vulnerabilities with CI/CD integration.

  32. Pydata book github.com

    "Python for Data Analysis" book third edition (see https://wesmckinney.com/book/).

  33. MLxtend github.com

    Extension and helper modules for Python's data analysis and machine learning libraries.

  34. Rasa github.com

    Open-source machine learning framework to automate text-and voice-based conversations.

  35. zipline github.com

    A python algorithmic trading library.

  36. Infinity github.com

    The AI-native database built for LLM applications, providing incredibly fast vector and full-text search. [Apache2]

  37. Awesome NLP with Ruby github.com

    A curated list of resources dedicated to Natural Language Processing and text processing for Ruby.

  38. deepchecks github.com

    Validation & testing of ML models and data during model development, deployment, and production.

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  39. burn github.com

    A Flexible and Comprehensive Deep Learning Framework.

  40. Kaldi github.com

    Toolkit for speech recognition. [Apache]

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  41. Optuna github.com

    A hyperparameter optimization framework.

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  42. Brain.js github.com

    Machine-learning framework.

  43. Deeplearning4j github.com

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  44. pgmpy github.com

    A python library for working with Probabilistic Graphical Models.

  45. xLearn github.com

    High Performance, Easy-to-use, and Scalable Machine Learning Package.

  46. StellarGraph github.com

    Machine Learning on Graphs.

  47. pytorch_geometric_temporal github.com

    Temporal Extension Library for PyTorch Geometric.

  48. Lime github.com

    Explaining the predictions of any machine learning classifier.

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