esra75

esra75's Stars

• gmortuza/Deep-Learning-Specialization

  This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai

  Language:Jupyter Notebook11454

• hbctraining/scRNA-seq_online

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• gtaylor/python-colormath

  A python module that abstracts common color math operations. For example, converting from CIE L*a*b to XYZ, or from RGB to CMYK

  Language:Python45885

• jasmcaus/opencv-course

  Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

  Language:Python1.1k964

• immunogenomics/harmony

  Fast, sensitive and accurate integration of single-cell data with Harmony

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• theislab/single-cell-best-practices

  https://www.sc-best-practices.org

  Language:Jupyter Notebook795190

• 10XGenomics/cellranger

  10x Genomics Single Cell Analysis

  Language:Rust37394

• SGDDNB/ShinyCell

  Shiny Interactive Web Apps for Single-Cell Data

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• brendankelly/micropower

  power estimation for microbiome studies analyzed with pairwise distances and PERMANOVA

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• compbiocore/poweranalyses

  A collection of power analyses done for different sequencing experiments

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• caranathunge/promor

  A comprehensive R package for label-free proteomics data analysis and modeling

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• DenuLab/LFQMagic

  11

• cox-labs/PerseusR

  R package for easy interop between Perseus and R

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• wasimaftab/LIMMA-pipeline-proteomics

  LIMMA (an empirical Bayes method) pipeline for two group comparison in a proteomic experiment

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• cytoscape/cytoscape-tutorials

  Collection of modular Cytoscape tutorials for online presentation using reveal.js

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• DavidMertz/ML-Webinar

  Machine Learning with sklearn tutorials (for Pearson)

  Language:Jupyter Notebook10499

• BernardGottschalk/BG-distribution

  166

• dlab-berkeley/Python-Data-Wrangling

  D-Lab's 3-hour workshop diving deep into Pandas. Learn how to manipulate, index, merge, group, and plot data frames using Pandas functions.

  Language:Jupyter Notebook1112

• dlab-berkeley/Python-Data-Visualization-Legacy

  D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

  Language:Jupyter Notebook5643

• ageron/handson-ml3

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook8k3.2k

• justmarkham/scikit-learn-videos

  Jupyter notebooks from the scikit-learn video series

  Language:Jupyter Notebook3.7k2.5k

• genome/bfx-workshop

  A course on genomics and bioinformatics from WU

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• jhkorhonen/MOODS

  MOODS: Motif Occurrence Detection Suite

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• kpatel427/YouTubeTutorials

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• nanxstats/dockflow

  Containerize Bioconductor Workflows

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• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  20.9k5.2k

• florinpop17/app-ideas

  A Collection of application ideas which can be used to improve your coding skills.

  81.2k9.6k

• shangguandong1996/In-depth-NGS-Data-Analysis-Course

  Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.

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• shangguandong1996/FindIT2_paper_relatedCode

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• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.7k4k