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tilii

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

Language:Jupyter NotebookLicense:MITStargazers:42220Issues:1786Issues:192

fuzzywuzzy

Fuzzy String Matching in Python

Language:PythonLicense:GPL-2.0Stargazers:9179Issues:259Issues:187

datashader

Quickly and accurately render even the largest data.

Language:PythonLicense:BSD-3-ClauseStargazers:3257Issues:90Issues:579

Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:2266Issues:69Issues:70

keras-tcn

Keras Temporal Convolutional Network.

Language:PythonLicense:MITStargazers:1859Issues:48Issues:167

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Language:PythonLicense:BSD-3-ClauseStargazers:638Issues:22Issues:106

sklearn-expertsys

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

atlas

ATLAS - Three commands to start analyzing your metagenome data

Language:PythonLicense:BSD-3-ClauseStargazers:359Issues:15Issues:423

artistic-style-transfer

Convolutional neural networks for artistic style transfer.

Language:Jupyter NotebookStargazers:354Issues:17Issues:10

fuzzysearch

Find parts of long text or data, allowing for some changes/typos.

Language:PythonLicense:MITStargazers:291Issues:8Issues:44

protein-sequence-embedding-iclr2019

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

Language:PythonLicense:NOASSERTIONStargazers:253Issues:11Issues:25

highdimensional-decision-boundary-plot

Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)

Language:PythonLicense:MITStargazers:227Issues:11Issues:2

flower-recognition

🌺🌻 Using state-of-the-art pre-trained Deep Neural Net architectures for Flower Species Recognition

Language:PythonLicense:MITStargazers:157Issues:5Issues:19

fastv

An ultra-fast tool for identification of SARS-CoV-2 and other microbes from sequencing data. This tool can be used to detect viral infectious diseases, like COVID-19.

Language:C++License:MITStargazers:110Issues:11Issues:22

mdlp-discretization

An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad

Language:PythonLicense:BSD-3-ClauseStargazers:102Issues:14Issues:22

pyfasta

fast, memory-efficient, pythonic (and command-line) access to fasta sequence files

ellipsoid_fit_python

Find ellipsoid fit for arbitrary data with python/numpy, plot it or write to file.

Language:PythonLicense:MITStargazers:75Issues:6Issues:15

RefineM

A toolbox for improving metagenome-assembled genomes.

Language:PythonLicense:GPL-3.0Stargazers:62Issues:5Issues:52

Discretization-MDLPC

Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)

Language:PythonLicense:GPL-3.0Stargazers:60Issues:4Issues:3

playing_with_vae

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Language:Jupyter NotebookStargazers:60Issues:4Issues:1

entropy-mdlp

Minimum description length principle algorithm in Python, for optimal binning of continuous variables

Language:PythonLicense:MITStargazers:58Issues:6Issues:3

ellipsoid

Example code for enclosing points in an elipsoid

Language:PythonLicense:GPL-3.0Stargazers:52Issues:7Issues:4

Seq-Gen

Sequence simulator

psipred

PSIPRED Protein Secondary Structure Predictor

Language:JavaLicense:NOASSERTIONStargazers:50Issues:5Issues:11

gpumap

GPU-Parallelized UMAP

Language:PythonLicense:BSD-3-ClauseStargazers:49Issues:2Issues:0

Porter5

Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes

Language:C++License:NOASSERTIONStargazers:44Issues:4Issues:16

Neuro_

C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).

Language:C++License:GPL-3.0Stargazers:35Issues:5Issues:5

ddbscan

Discrete DBSCAN algorithm optimized for discrete and bounded data.

Language:PythonLicense:MITStargazers:22Issues:0Issues:0

DNSS

Deep learning networks for protein secondary structure prediction

Language:PerlStargazers:7Issues:0Issues:0