ceesu

ceesu's Stars

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook30.3k322993.6k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python26k2014.2k5.4k

• thomasp85/patchwork

  The Composer of ggplots

  Language:R2.5k46349163

• Nuzair46/BlockTheSpot-Mac

  Spotify Ad blocker for MacOS

  Language:Shell1.4k193886

• slowkow/ggrepel

  :round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.

  Language:R1.2k2621297

• yutannihilation/gghighlight

  Highlight points and lines in ggplot2

  Language:R5231112023

• aws-samples/amazon-sagemaker-notebook-instance-lifecycle-config-samples

  A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

  Language:Shell4212053250

• 10XGenomics/cellranger

  10x Genomics Single Cell Analysis

  Language:Rust3643522093

• IndrajeetPatil/statsExpressions

  Tidy data frames and expressions with statistical summaries 📜

  Language:R312810620

• rcastelo/GSVA

  Gene set variation analysis

  Language:R2001012041

• SingleR-inc/SingleR

  Clone of the Bioconductor repository for the SingleR package.

  Language:R1761221519

• ncbi-nlp/BioWordVec

  Language:Python14411229

• theislab/sc-pert

  Models and datasets for perturbational single-cell omics

  Language:Jupyter Notebook1425412

• saeyslab/multinichenetr

  MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data

  Language:HTML11939514

• bunnech/cellot

  Learning Single-Cell Perturbation Responses using Neural Optimal Transport

  Language:Python11433711

• sanderlab/scPerturb

  scPerturb: A resource and a python/R tool for single-cell perturbation data

  Language:Jupyter Notebook1075266

• asncd/MIMOSCA

  A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.

  Language:Jupyter Notebook8514825

• mhorlbeck/ScreenProcessing

  Language:Python64112432

• lilab-bcb/cumulus

  Cloud-based scalable and efficient single-cell genomics workflows

  Language:WDL5565030

• NathanSkene/EWCE

  Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.

  Language:R5458625

• YosefLab/scib-metrics

  Accelerated, Python-only, single-cell integration benchmarking metrics

  Language:Python4764311

• zdebruine/singlet

  Single-cell analysis with non-negative matrix factorization

  Language:C++4123113

• josephreplogle/guide_calling

  Tools for sgRNA calling in direct capture Perturb-seq data

  Language:Python30296

• insitro/EmbedGEM

  EmbedGEM: A framework to evaluate the utility of embeddings for genetic discovery

  Language:Python20311

• dgidb/dgidb-v5

  Providing interactions between drugs and genes sourced from a variety of publications and knowledgebases

  Language:Ruby1762812

• OSCA-source/OSCA.basic

  Basics of the OSCA book

  Language:TeX107911

• afombravo/2FAST2Q

  A Python3 program that counts sequence occurrences in raw FASTQ files.

  Language:Python7252

• neurogenomics/hierarchicell

  An R package for simulating cell-type specific and hierarchical single-cell expression data

  Language:R5001

• Al-Murphy/reanalysis_scRNA_seq_benchmark

  A reanalysis the results of the paper: A practical solution to pseudoreplication bias in single-cell studies (https://www.nature.com/articles/s41467-021-21038-1)

  Language:HTML3100

• YOU-k/voomByGroup

  Language:HTML3100