GGiecold-zz

Gregory Giecold's starred repositories

tensorflow

An Open Source Machine Learning Framework for Everyone

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keras

Deep Learning for humans

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Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

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tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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deap

Distributed Evolutionary Algorithms in Python

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amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

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tqdm

Add a progress meter to your loops in a second

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egads

A Java package to automatically detect anomalies in large scale time-series data

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dragonn

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

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CRISPResso

Software pipeline for the analysis of CRISPR-Cas9 genome editing outcomes from sequencing data

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nelder-mead

Pure Python/Numpy implementation of the Nelder-Mead algorithm.

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pyRMT

Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.

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Cluster_Ensembles

A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.

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GiniClust

GiniClust: Detecting Rare Cell Types from Single-Cell Gene Expression Data with Gini Index

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Haystack

Epigenetic Variability and Transcription Factor Motifs Analysis Pipeline

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Concurrent_AP

A scalable and concurrent programming implementation of Affinity Propagation clustering.

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ECLAIR

Robust and scalable inference of cell lineages via consensus clustering. Features novel algorithms for the comparison of weighted graphs and unrooted trees.

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Parallel_computing_with_CUDA_C

Illustrating CUDA C for general-purpose computing on GPUs

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PySCUBA

Python for Single-cell Clustering Using Bifurcation Analysis

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ECLAIR

Robust and scalable inference of cell lineages via consensus clustering. Features novel algorithms for the comparison of weighted graphs and unrooted trees.

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PySCUBA

Python for Single-cell Clustering Using Bifurcation Analysis

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Keras_playground

Training deep neural networks with Keras

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CRISPResso

Software pipeline for the analysis of CRISPR-Cas9 genome editing outcomes from sequencing data

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