BIO-LAB's Stars
minhhpham/MultiPharma
Multivariate methods for Pharmacovigilance
chrieke/awesome-earthobservation-code
curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
chrieke/geocoder-comparison
📍 A comparison of multiple geocoders - streamlit webapp.
chrieke/awesome-geospatial-companies
:globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
chrieke/awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
dbonafilia/sparcs_cloud_data
https://www.usgs.gov/land-resources/nli/landsat/spatial-procedures-automated-removal-cloud-and-shadow-sparcs-validation
qzhang95/PSTCR
Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.
markrobinsonuzh/conquer
consistent quantification of external RNA-seq data sets
jmzeng1314/AnnoProbe
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
PUGEA/PGSeq
A bioinformatics tool for estimating negative binomial distributed gene and isoform expression by modeling exon-specific bias from RNA-seq data
Vivianstats/AIDE
AIDE: annotation-assisted isoform discovery and quantification from RNA-seq data
seandavi/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
hbctraining/scRNA-seq
hemberg-lab/scRNA.seq.course
Analysis of single cell RNA-seq data course
hemberg-lab/scRNA.seq.datasets
Collection of public scRNA-Seq datasets used by our group
fengdu78/lihang-code
《统计学习方法》的代码实现
Relph1119/MachineLearning-WatermelonBook
周志华-机器学习
infphilo/tophat
Spliced read mapper for RNA-Seq
cole-trapnell-lab/cufflinks
jcbeer/fsgl
Fused Sparse Group Lasso: Data and code for the methodology and analyses reported in the manuscript Incorporating Prior Information with Fused Sparse Group Lasso: Application to Prediction of Clinical Measures from Neuroimages.
alexandrehuat/gflsegpy
gflsegpy: A Python 3 implementation of the group fused Lasso for multiple change-point detection (Bleakley and Vert, 2011)
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解