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Lists (32)
Analytics Dashboards
22 repositories
Anomaly Detection
2 repositories
Bioinformatics
10 repositories
Computer Vision
45 repositories
DAI
3 repositories
Databases
1 repository
📡 Deep Signal Modeling
59 repositories
Educational Resources
CS, Math, ML, etc..4 repositories
Embedding - Dimention Reduction
2 repositories
🎮 Games
1 repository
GAN
8 repositories
GIT Productivity
13 repositories
Graph DataEngineering&Modeling
10 repositories
IDE & Text Editors
6 repositories
Infra-Utils
3 repositories
Knowledge Management
2 repositories
Large language models
2 repositories
LLM
Large Language Model2 repositories
ML Losses
7 repositories
ML & Web Testing
2 repositories
Model Training
3 repositories
🏋️♂️ Reinforcement Learning
52 repositories
Scientific Computing
7 repositories
Signal Datasets
4 repositories
Stack for Data Engineering
35 repositories
🚀 Stack for Deep Learning
77 repositories
♾️ Stack for DevOps - MLOps
41 repositories
Stack for game development
6 repositories
Stack for NLP
Stack for Quant
8 repositories
SWE: Load Testing
5 repositories
Utils
2 repositories
Starred repositories
68
stars
written in R
Clear filter
Statistical Rethinking course and book package
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file form…
Code for my book on Multi-Armed Bandit Algorithms
Interesting resources related to XAI (Explainable Artificial Intelligence)
💡 Easily improve the user experience of your Shiny apps in seconds
A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods
Very concise notes on machine learning and statistics.
Table of software for the analysis of single-cell RNA-seq data.
new layout algorithms for network visualizations in R
A compendium of the pitfalls and problems that arise when using standard statistical methods
Simple simulation of single-cell RNA sequencing data
An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.
GDCRNATools: an R/Bioconductor package for integrative analysis of lncRNA, miRNA and mRNA data in GDC
An R client for broads firehose pipeline, providing TCGA data sets