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MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
MAMnet uses a deep learning network to call genetic variants from third generation DNA sequencing data.
An easy-to-use, web-based pipeline for the manual curation of transposable elements
LLMs-from-scratch项目中文翻译
《动手学大模型Dive into LLMs》系列编程实践教程
No fortress, purely open ground. OpenManus is Coming.
"🐈 nanobot: The Ultra-Lightweight OpenClaw"
Predict RNA velocity through deep learning
A genome simulator for transposable element (TE) variants
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书
Structural variation caller using third generation sequencing
Foldseek enables fast and sensitive comparisons of large structure sets.
Finding TEs with short-read data using random forests
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Software for detecting transposable element insertions from next-generation sequencing data
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
Detecting genome structural variants with deep learning in single molecule sequencing
An accurate repeat detection from Nanopore data using deep learning and image techniques
The fastai book, published as Jupyter Notebooks