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Data Science

701 items from academic/awesome-datascience ★30,136

  1. Ludwig github.com

    A low-code framework for building custom AI models like LLMs and other deep neural networks. #opensource

  2. vizzu github.com
  3. TidyTuesday github.com

    TidyTuesday is a weekly data project aimed at the R ecosystem with an emphasis placed on understanding how to summarize and arrange data to make meaningful charts.

  4. TensorLayer github.com

    Deep learning and reinforcement learning library for researchers and engineers

  5. skorch github.com
  6. causalml github.com

    Uplift modeling and causal inference with machine learning algorithms.

  7. keras-rl github.com

    Deep Reinforcement Learning for Keras.

  8. cuML github.com

    RAPIDS Machine Learning Library.

  9. Data Science github.com

    Open Source Society University

  10. ignite github.com

    High-level library to help with training neural networks in PyTorch.

  11. GPyTorch github.com

    A highly efficient and modular implementation of Gaussian Processes in PyTorch.

  12. torchtext github.com

    Data loaders and abstractions for text and NLP.

  13. TensorForce github.com

    An open-source deep reinforcement learning framework, with an emphasis on modularized flexible library design and straightforward usability for applications in research and practice.

  14. TRFL github.com

    TensorFlow Reinforcement Learning.

  15. Minimum Viable Study Plan for Machine Learning Interviews github.com
  16. Train LLM From Scratch github.com

    A straightforward method for training your LLM, from downloading data to generating text.

  17. hyperlearn github.com

    50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels.

  18. Yolov3 github.com
  19. Data Science Interviews Questions github.com
  20. Spektral github.com

    Deep learning on graphs.

  21. modAL github.com
  22. sklearn-bayes github.com

    Python package for Bayesian Machine Learning with scikit-learn API.

  23. Hyperas github.com

    Keras + Hyperopt: A straightforward wrapper for a convenient hyperparameter.

  24. pyro github.com
  25. TensorFlow Fold github.com

    Deep learning with dynamic computation graphs in TensorFlow.

  26. Talos github.com

    Hyperparameter Optimization for Keras Models.

  27. Mesh TensorFlow github.com

    Model Parallelism Made Easier.

  28. How to Share Data with a Statistician github.com
  29. scikit-feature github.com

    Feature selection repository in Python.

  30. keras-contrib github.com

    Keras community contributions.

  31. Elephas github.com

    Distributed Deep learning with Keras & Spark.

  32. tensorpack github.com
  33. Sparkit-learn github.com

    PySpark + scikit-learn = Sparkit-learn.

  34. Awesome Game Datasets github.com

    Materials and datasets for Artificial Intelligence in games.

  35. pyGAM github.com

    Generalized Additive Models in Python.

  36. Data Science Specialization github.com
  37. scikit-multilearn github.com

    Multi-label classification for python.

  38. 100 NLP Papers github.com
  39. Hands-on Train and Deploy ML github.com

    A hands-on course to train and deploy a serverless API that predicts crypto prices.

  40. sklearn-deap github.com

    Use evolutionary algorithms instead of gridsearch in scikit-learn.

  41. torchvista github.com

    Interactive notebook-based tool to visualize the forward pass of any PyTorch model.

  42. perpetual-ml/perpetual github.com

    [perpetual] - A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization.

  43. seqlearn github.com

    Sequence classification toolkit for Python.

  44. tensorflow-upstream github.com

    TensorFlow ROCm port.

  45. pystruct github.com

    Simple structured learning framework for Python.

  46. Data Science Projects github.com
  47. qkeras github.com

    A quantization deep learning library.

  48. sklearn-expertsys github.com

    Highly interpretable classifiers for scikit learn.

  49. Redash redash.io

    Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.

  50. Seaborn seaborn.pydata.org

    A Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

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