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Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
stPlus: reference-based enhancement of spatial transcriptomics
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Code repository for O'Reilly book
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
Exercises (incl. analyses) with R language (math+statistics)
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Pytorch implementation of GAIN for missing data imputation
Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data
《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
Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018
Spatial alignment of single cell transcriptomic data.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data
Unofficial Python implementation of Graph-Guided Fused Lasso (GFLasso)
monogenea / gflasso
Forked from krisrs1128/gflassoAn experimental package for graph-structured multi-task regression
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implementation for sGLMM (Sparse graph-structured linear mixed model)
Generalized linear mixed-effect model in Python
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…