sleepingforest2

sleepingforest2's Stars

• freeCodeCamp/freeCodeCamp

  freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

  Language:TypeScript393k8.5k18.1k36.1k

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  310k7.7k33627k

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  298k8.7k43375k

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  282k5.2k63926.5k

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  180k2.9k14923.7k

• Z4nzu/hackingtool

  ALL IN ONE Hacking Tool For Hackers

  Language:Python43.5k1.2k3344.8k

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python38.3k3811.6k4.3k

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.4k2.2k2019.1k

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.4k5802.7k11.7k

• the1812/Bilibili-Evolved

  强大的哔哩哔哩增强脚本

  Language:TypeScript22.1k1202.7k1.6k

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook13.5k296123.4k

• microsoft/Mastering-GitHub-Copilot-for-Paired-Programming

  An 8 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.

  Language:Python4.4k619641

• Avik-Jain/100-Days-of-ML-Code-Chinese-Version

  Chinese Translation for Machine Learning Infographics

  Language:Python3.3k2559919

• pachterlab/gget

  🧬 gget enables efficient querying of genomic reference databases

  Language:Python884116269

• bulik/ldsc

  LD Score Regression (LDSC)

  Language:Python61127395332

• echonet/dynamic

  EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

  Language:Python4392757161

• calico/basenji

  Sequential regulatory activity predictions with deep convolutional neural networks.

  Language:Python38030168120

• BiomedicalMachineLearning/stLearn

  A novel machine learning pipeline to analyse spatial transcriptomics data

  Language:Python178615823

• jianhuupenn/SpaGCN

  SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

  Language:Python17827753

• STOmics/Stereopy

  A toolkit of spatial transcriptomic analysis.

  Language:Jupyter Notebook1781120959

• FunctionLab/ExPecto

  predicting expression effects of human genome variants ab initio from sequence

  Language:Python11683141

• LiuLabUB/HMMRATAC

  HMMRATAC peak caller for ATAC-seq data

  Language:Java96810421

• kundajelab/alzheimers_parkinsons

  Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis

  Language:Jupyter Notebook4211215

• macarthur-lab/tx_annotation

  Code associated with 2019 manuscript entitled "Transcript expression-aware annotation improves rare variant discovery and interpretation"

  Language:Python332148

• BICCN/CellCensusMotorCortex

  Resources associated with "A multimodal cell census and atlas of the mammalian primary motor cortex"

  20793

• getian107/SuSiEx

  Cross-population fine-mapping

  Language:C++142

• IzPerfect/CT-Image-Segmentation

  U-Net : CT Image data segmentation using keras

  Language:Jupyter Notebook13201

• zorrodong/HECA

  Human embryonic cell altas

  Language:HTML12105

• syagev/kaggle_dsb

  Canidadate for the Kaggle 2017 Data Science Bowl - Automatic detection of lung cancer from CT scans

  Language:Python10317

• Lululuella/swCAM

  Sample-specific deconvolution (debCAM2.0)

  Language:R6304