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adversarial-gene-expression

Adversarial generation of gene expression data using Generative Adversarial Networks

caraml-website

Content for the CaRAML website

cibersort

A shell to facilitate loading / running CIBERSORT software in structured environments

comet

[ICLR 2021] Concept Learners for Few-Shot Learning

connect-4-prolog

Connect 4 game in Prolog

deepsets

disentangling-disentanglement

gain

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

graphein

Protein Graph Library

gtex-imputation

Gene Expression Imputation with Generative Adversarial Imputation Nets

hierarchical_bilstm-crf_encoder

hyfa

Hypergraph Factorisation

invariantriskminimization

PyTorch code to run synthetic experiments.

keras

Deep Learning for humans

keras-gan

Keras implementations of Generative Adversarial Networks.

ml-matlab

ncem

Learning cell communication from spatial graphs of cells

neural-ordinary-differential-equations

Sample implementation of Neural Ordinary Differential Equations

nnn

Neural network from scratch in Python using Numpy

novosparc

polythetic_metalearning

predicting-subcellular-location

Predicting the subcellular location of eukaryotic proteins with support vector machines

prosopagnosia

py-wsi

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.

rvinas.github.io

A simple portfolio Jekyll theme:

scipy

Scipy library main repository

sentiment-analysis-tensorflow

Sentiment Analysis with a simple LSTM network using TensorFlow

set_transformer

A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tensorflow

An Open Source Machine Learning Framework for Everyone