Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
addinslist
📜 Discover and install useful RStudio addins
AGAT
Another Gtf/Gff Analysis Toolkit
algo
数据结构和算法必知必会的50个代码实现
algorithm
《数据结构与算法之美》学习笔记以及 Swift 代码实现 ，原始仓库 https://github.com/wangzheng0822/algo
BioinfoHub
deeplearning-biology
A list of deep learning implementations in biology
HiC_tools
A collection of tools for Hi-C data analysis
Kraken2Polute
TCR-repertoire-database
Antigen specific TCR repertoire database for Luo et al., 2022 Nature Aging paper (Multidimensional single-cell analysis of human peripheral blood reveals characteristic features of the immune system landscape in aging and frailty)
thekingofall's Repositories
thekingofall/TCR-repertoire-database
Antigen specific TCR repertoire database for Luo et al., 2022 Nature Aging paper (Multidimensional single-cell analysis of human peripheral blood reveals characteristic features of the immune system landscape in aging and frailty)
thekingofall/HiC_tools
A collection of tools for Hi-C data analysis
thekingofall/addinslist
📜 Discover and install useful RStudio addins
thekingofall/Kraken2Polute
thekingofall/TCRBCgetpy_v2
thekingofall/ASCPdown
thekingofall/ATACpip
thekingofall/awesome-pipeline
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
thekingofall/BarcodeExtractor
Interesting script I write
thekingofall/BENG183_2023Fall_Applied-Genomic-Technologies
Repository for BENG 183 Applied Genomic Technologies
thekingofall/Biogit
Some Code write
thekingofall/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
thekingofall/Drugstools
thekingofall/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
thekingofall/gpt4free
decentralising the Ai Industry, just some language model api's...
thekingofall/Grpahs_supper
thekingofall/HLA-LA
Fast HLA type inference from whole-genome data
thekingofall/Immuagepipeline
thekingofall/mlp233.github.io
thekingofall/NoPAS
thekingofall/SCBStools
thekingofall/scHICprocess
thekingofall/scHICtools
thekingofall/Seqcount
thekingofall/Seqpair
thekingofall/StableNet
Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
thekingofall/Taurus-MHread
thekingofall/TCRfuzzy
thekingofall/Thinkbayes2_cn
Thinkbayes2_chinese
thekingofall/UTCRtools