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approximated_tsne

Implementation of approximated tSNE algorithm. See "Approximated and User Steerable tSNE for Progressive Visual Analytics"

augmentor

Image augmentation library in Python for machine learning.

bedtools

A powerful toolset for genome arithmetic.

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

cellprofiler

CellProfiler mirror of the SVN repository. Note that currently, this repository is updated manually from a git-svn clone of the official SVN repository (see Cloning_in_git.txt).

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cookiecutter-ml

Cookiecutter template for ML projects

dbpedia_classify

Repository of code used for text processing tutorial series

gentrl

Generative Tensorial Reinforcement Learning (GENTRL) model

geomstats

Computations and statistics on manifolds with geometric structures.

htsjdk

A Java API for high-throughput sequencing data (HTS) formats.

hubwaydatachallenge

Entry for the 2012 Hubway data challenge.

igv

Integrative Genomics Viewer.

lava-dna

Fork from code.google.com/p/lava-dna

longformer

Longformer: The Long-Document Transformer

lvdmaaten.github.io

Website of Laurens van der Maaten

mlstm4reco

Multiplicative LSTM for Recommendations

napari

napari: a fast, interactive, multi-dimensional image viewer for python

numpy

Numpy main repository

optitype

Precision HLA typing from next-generation sequencing data

parametric_tsne

Python / Tensorflow / Keras implementation of Parametric tSNE algorithm

pyfaidx

pyfaidx: efficient pythonic random access to fasta subsequences

rankit

rl_experiments

Simple experiments in reinforcement learning

scikit-learn

scikit-learn: machine learning in Python

scipy

Scipy main repository

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

word2vec

Automatically exported from code.google.com/p/word2vec