Lin-bioinfo
Follow
Lists (1)
Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
10 Weeks, 20 Lessons, Data Science for All!
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
Notes about courses Dive into Deep Learning by Mu Li
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
https://www.sc-best-practices.org
A knowledge graph and a set of tools for drug repurposing
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
Spatial alignment of single cell transcriptomic data.
Transformer for One-Stop Interpretable Cell-type Annotation
Discovering novel cell types across heterogenous single-cell experiments
Single-cell disease relevance score (scDRS)
single cell Flux Estimation Analysis (scFEA) Try the below web server!
Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology
GraphSAGE and GAT for link prediction.