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mantis-ml-release

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software/mantis-ml-release

mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

Machine-generated from the listed sources and not yet reviewed by a human.

mantis-ml-release project image
GitHub preview card for astrazeneca-cgr-publications/mantis-ml-release. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MPL-2.0(osi)
Status
dormant
Maturity
deployed
Organization
astrazeneca-cgr-publications
Country
unknown
Homepage
unknown
Repository
github.com/astrazeneca-cgr-publications/mantis-ml-release
Documentation
unknown
Tags
auto-ml · genomics · keras · machine-learning · scikit-learn · tensorflow
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine

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    Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and…

  • Brain-tumor-classifierkeras · tensorflow

    Brain tumor classification model from MRI scans using a Convolutional Neural Newtwork (CNN) built with Tensor flow/Keras.

  • DL-EEGkeras · tensorflow

    A Deep Learning Library for State-Based EEG Analysis

  • ECG_Heartbeat_Classificationkeras · tensorflow

    CNN for heartbeat classification

sources
  1. api.github.com/repos/astrazeneca-cgr-publications/mantis-ml-release
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-01-26, 31 stars, license reported as MPL-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

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/v1/entries/5.json→ .entries["mantis-ml-release"]

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