zhyguo's Stars
yanshengjia/ml-road
Machine Learning Resources, Practice and Research
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
llSourcell/100_Days_of_ML_Code
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
100daysofml/100daysofml.github.io
100 Days of Machine Learning Challenge
llSourcell/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
maxim5/cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
swirldev/swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TheoreticalEcology/machinelearning
Teaching Material for a Machine Learning course with Keras and Tensorflow in R
OmicsML/awesome-deep-learning-single-cell-papers
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
openbiox/awosome-bioinformatics
A curated list of resources for learning bioinformatics.
hbctraining/Training-modules
Materials for short, half-day workshops
caleblareau/bap
Bead-based single-cell atac processing
LeCoupa/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
MultiQC/MultiQC
Aggregate results from bioinformatics analyses across many samples into a single report.
fenglin0/benchmarking_variant_callers
In this study, we perform systematic comparative analysis of seven widely-used SNV-calling methods, including SAMtools, the GATK Best Practices pipeline, CTAT, FreeBayes, MuTect2, Strelka2 and VarScan2, on both simulated and real single-cell RNA-seq datasets. We evaluate the performances of these tools in different read depths, genomic contexts, functional regions and variant allele frequencies.
maxplanck-ie/TheWhoTheWhatTheHuh
"The who the what the huh?" is our pipeline for converting bcl files to fastq and performing QC.
telatin/seqfu2
:rocket: seqfu - Sequece Fastx Utilities
scikit-bio/scikit-bio
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
brentp/hts-nim
nim wrapper for htslib for parsing genomics data files
haowenz/chromap
Fast alignment and preprocessing of chromatin profiles
broadinstitute/gatk
Official code repository for GATK versions 4 and up
nextflow-io/nextflow
A DSL for data-driven computational pipelines
PacktPublishing/Bioinformatics-with-Python-Cookbook-Second-Edition
Bioinformatics with Python Cookbook Second Edition, published by Packt
harvardinformatics/learning-bioinformatics-at-home
resources for learning bioinformatics
lh3/bioawk
BWK awk modified for biological data
salzman-lab/SICILIAN
salzman-lab/SpliZ
Nextflow implementation of SpliZ
qianhuiSenn/scRNA_cell_deconv_benchmark
Evaluation of Cell Type Annotation R Packages on Single Cell RNA-seq Data