Lists (11)
Stars
Fast algorithms for fitting topic models and non-negative matrix factorizations to count data.
Code and Content for Manning Publication on Graph Neural Networks
SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
VTK-based Data Analysis and Visualization Application
Cell-type-specific interactome networks within tumor microenvironments.
A 15TB Collection of Physics Simulation Datasets
This repo holds material for the Udemy course "PyTorch Ultimate"
Distributed single-cell data analysis.
Tips for Writing a Research Paper using LaTeX
Graph Neural Network Library for PyTorch
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
Data validation using Python type hints
Open-source scientific and technical publishing system built on Pandoc.
The fastai book, published as Jupyter Notebooks
PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Creates dynamic html report from jupyter notebook.
Transformer: PyTorch Implementation of "Attention Is All You Need"