Repository for the CWL standards. Use https://cwl.discourse.group/ for support 😊

Continuous integration for R packages. 🔀 Automates testing ✅, documentation website building 📦, & containerised deployment 🐳.

Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal

Biological foundation modeling from molecular to genome scale

Technology-invariant pipeline for spatial omics analysis (Xenium / MERSCOPE / CosMx / PhenoCycler / MACSima / Hyperion) that scales to millions of cells

Documentation that simply works

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

Discovering novel cell types across heterogenous single-cell experiments

biotoolsregistry : discovery portal for bioinformatics

The scripts used for analyzing JAX mouse dataset

Using Transformers from HuggingFace in R

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

MathJax source code for version 3 and beyond

Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.

An integrated platform for modeling gene-regulatory dynamics and networks

Build mindmaps with plain text

Edit, preview and share mermaid charts/diagrams. New implementation of the live editor.

Accelerated BLAST compatible local sequence aligner.

a tool for inferring species tree from sequencing reads

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

A collaboratively written review paper on deep learning, genomics, and precision medicine

Python library to handle Gene Ontology (GO) terms

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

浙江大学课程攻略共享计划

哈尔滨工业大学（深圳）计算机专业课程攻略 | Guidance for courses in Department of Computer Science, Harbin Institute of Technology (Shenzhen)

Tackle data analytics and machine learning challenges and build complex applications with R 3.5

Learn Deep Learning with Python