A definitive dataset for COVID-19 in Canada

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4182

a pipeline for single cell RNA-seq data analysis

This contains the dataset for comparing scRNA-seq analysis methods

Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！

SPROD: Spatial expression profiling de-noising

Tensor decomposition for machine learning (w/ Python implementation)

Reconstructing Spatial Transcriptomes with Graph-guided Neural Tensor Decomposition Informed by Spatial and Functional Relations

Bayesian Tensor Decomposition Approach for Incomplete Traffic Data Imputation

❗ This is a read-only mirror of the CRAN R package repository. tensorBF — Bayesian Tensor Factorization

哔哩下载姬downkyi，哔哩哔哩网站视频下载工具，支持批量下载，支持8K、HDR、杜比视界，提供工具箱（音视频提取、去水印等）。

An R package for drug response prediction and drug-gene association prediction.

Code for generating Higher-order Network (HON) from data with higher-order dependencies

Julia and C++ implementations of Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo

Bayesian Non-negative Matrix Factorization

Probabilistic factor models for spatially correlated data. Includes nonnegative and real-valued versions.

lightspeed matlab toolbox

multivariate Gaussian process regression and multivariate Student-t process regression

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Reproducible-Bayesian-Tensor-Machine-Learning-SOTA

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

Single Cell Analysis Pipelines

Analysis of single cell RNA-seq data course

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…