e-arslan

e-arslan's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook37.7k4k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  18k1.5k

• SanDiegoMachineLearning/bookclub

  Notes and links from the book club meetings

  Language:Jupyter Notebook486102

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.7k986

• eonurk/cinaR

  A differential and enrichment analyses pipeline for bulk ATAC-seq (and RNA-seq)

  Language:R123

• databio/pepatac

  A modular, containerized pipeline for ATAC-seq data processing

  Language:R5414

• hzy95/EPIVAN

  Language:R154

• hussius/deeplearning-biology

  A list of deep learning implementations in biology

  2k481

• genesofeve/projectR

  Language:HTML6219

• broadinstitute/infercnv

  Inferring CNV from Single-Cell RNA-Seq

  Language:R557166

• GreenleafLab/ArchR

  ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)

  Language:R379135

• GreenleafLab/10x-scATAC-2019

  Publication Page for Satpathy*, Granja* et al 2019

  Language:R9254

• NBISweden/excelerate-scRNAseq

  Single RNA-seq data analysis with R (Finland, May, 2019)

  Language:HTML216107

• LuyiTian/sc_mixology

  This contains the dataset for comparing scRNA-seq analysis methods

  Language:HTML8924

• theislab/single-cell-tutorial

  Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

  Language:Jupyter Notebook1.4k453

• pinellolab/scATAC-benchmarking

  Benchmarking computational single cell ATAC-seq methods

  Language:Jupyter Notebook17638

• QData/deep2Read

  https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.

  Language:Ruby5215