GGiecold-zz's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
keras-team/keras
Deep Learning for humans
Theano/Theano
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
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
DEAP/deap
Distributed Evolutionary Algorithms in Python
amazon-archives/amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
noamraph/tqdm
Add a progress meter to your loops in a second
yahoo/egads
A Java package to automatically detect anomalies in large scale time-series data
kundajelab/dragonn
A toolkit to learn how to model and interpret regulatory sequence data using deep learning.
lucapinello/CRISPResso
Software pipeline for the analysis of CRISPR-Cas9 genome editing outcomes from sequencing data
fchollet/nelder-mead
Pure Python/Numpy implementation of the Nelder-Mead algorithm.
GGiecold-zz/pyRMT
Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
GGiecold-zz/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.
lanjiangboston/GiniClust
GiniClust: Detecting Rare Cell Types from Single-Cell Gene Expression Data with Gini Index
lucapinello/Haystack
Epigenetic Variability and Transcription Factor Motifs Analysis Pipeline
GGiecold-zz/Concurrent_AP
A scalable and concurrent programming implementation of Affinity Propagation clustering.
GGiecold-zz/ECLAIR
Robust and scalable inference of cell lineages via consensus clustering. Features novel algorithms for the comparison of weighted graphs and unrooted trees.
GGiecold-zz/Parallel_computing_with_CUDA_C
Illustrating CUDA C for general-purpose computing on GPUs
GGiecold-zz/PySCUBA
Python for Single-cell Clustering Using Bifurcation Analysis
gcyuan/ECLAIR
Robust and scalable inference of cell lineages via consensus clustering. Features novel algorithms for the comparison of weighted graphs and unrooted trees.
gcyuan/PySCUBA
Python for Single-cell Clustering Using Bifurcation Analysis
GGiecold-zz/Keras_playground
Training deep neural networks with Keras
pinellolab/CRISPResso
Software pipeline for the analysis of CRISPR-Cas9 genome editing outcomes from sequencing data