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Machine Learning · GitHub

Train, evaluate, and run machine learning models.

Useful GitHub projects

4,743 projects

model_analyzer

triton-inference-server

531stars

Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.

  • Detailed and summary reports: Model Analyzer is able to generate summarized and detailed reports that can help you better understand the trade-offs between different model configurations that can be used for your model.
  • QoS Constraints: Constraints can help you filter out the Model Analyzer results based on your QoS requirements. For example, you can specify a latency budget to filter out model configurations that do not satisfy the specified latency threshold.
Machine LearningPythonApache-2.0GitHub

RadQy

viswanath-lab

126stars
RadQy preview

RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (CT) data.

  • MRI and CT quality assessment
  • DICOM metadata/tag extraction

SMACT

WMD-group

148stars
SMACT preview

Python package to aid materials design and informatics

  • At the core of SMACT are Element and Species (element in a given oxidation state) classes that have various properties associated with them.
  • Oxidation states that are accessible to each element are included in their properties.
174stars

PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)

tick

X-DataInitiative

625stars

Module for statistical learning, with a particular emphasis on time-dependent modelling

Machine LearningPythonBSD-3-ClauseGitHub

AI-PAL

YijianZhou

35stars

Self‐Supervised AI Phase Picking via Rule‐Based Algorithm for Generalized Earthquake Detection

611stars
SuperGlue-pytorch preview

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.