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Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

Probabilistic time series modeling in Python
  • Python
  • 4.5k
  • Updated
    yesterday

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  • Python
  • 1.3k
  • Updated
    on Nov 6, 2023

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
  • Python
  • 1.2k
  • Updated
    on Jun 7

A Library for Uncertainty Quantification.
  • Python
  • 879
  • Updated
    14 days ago

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
  • Python
  • 343
  • Updated
    2 hours ago

Gradient based Hyperparameter Tuning library in PyTorch
  • Python
  • 290
  • Updated
    on Jul 17, 2020

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
  • Jupyter Notebook
  • 280
  • Updated
    on Jun 9, 2021

Library for automatic retraining and continual learning
  • Python
  • 275
  • Updated
    5 hours ago

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
  • Python
  • 158
  • Updated
    on May 3

Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object R…
  • Python
  • 145
  • Updated
    on Jun 19
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Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Package icon

Sponsor open source projects you depend on

Contributors are working behind the scenes to make open source better for everyone—give them the help and recognition they deserve.Explore sponsorable projects
ProTip! 
Press the
/
key to activate the search input again and adjust your query.