wxc (Aelita-Stone)

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GBM360

Spatial cellular architecture predicts prognosis in glioblastoma - Nature Communications

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copymanga

拷贝漫画的第三方APP,优化阅读/下载体验

Language:KotlinLicense:GPL-3.0Stargazers:1960Issues:0Issues:0

cell2location

Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)

Language:PythonLicense:Apache-2.0Stargazers:298Issues:0Issues:0

epiAneufinder

R package to detect breakpoints and assign somies to scATAC-seq data

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HE2RNA_code

Train a model to predict gene expression from histology slides.

Language:PythonLicense:GPL-3.0Stargazers:89Issues:0Issues:0

stainlib

Python 3 library for the augmentation & normalization of H&E images

Language:Jupyter NotebookLicense:MITStargazers:50Issues:0Issues:0

HistoMIL

A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.

Language:PythonLicense:GPL-3.0Stargazers:26Issues:0Issues:0

color_transfer

Performs color transfer between two images. Loosely based on the "Color Transfer between Images" paper by Reinhard et al., 2001.

Language:PythonLicense:MITStargazers:490Issues:0Issues:0

StainTools

Tools for tissue image stain normalisation and augmentation in Python 3

Language:PythonLicense:MITStargazers:312Issues:0Issues:0

OpenAI-CLIP

Simple implementation of OpenAI CLIP model in PyTorch.

Language:Jupyter NotebookLicense:MITStargazers:598Issues:0Issues:0

nucleotide-transformer

🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics

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DNABERT

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

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VLM_survey

Collection of AWESOME vision-language models for vision tasks

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

License:MITStargazers:5782Issues:0Issues:0

Awesome-Multimodal-Research

A curated list of Multimodal Related Research.

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LeetCode-Py

⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,850+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。

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mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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liger

R package for integrating and analyzing multiple single-cell datasets

Language:RLicense:GPL-3.0Stargazers:379Issues:0Issues:0

cursor

The AI Code Editor

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SpaGCN

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

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SPOTlight

Spatial Transcriptomics Capture Location Deconvolution

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MoCov2_Pytorch_tutorial

MoCo v2 Pytorch tutorial, https://arxiv.org/abs/2003.04297

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spacexr

Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics

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intro-to-deepcell

An introduction to deepcell and deep learning

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:138Issues:0Issues:0

cellpose

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:1299Issues:0Issues:0

STARCH

Spatial Transcriptomics Algorithm Reconstructing Copy-number Heterogeneity

Language:PythonLicense:MITStargazers:18Issues:0Issues:0

copy-number-analysis

Explore, compare, and evaluate Bioconductor packages related to genomic copy number analysis

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synthwave-vscode

Synthwave inspired colour theme for VS Code 🌅🕶

Language:CSSLicense:MITStargazers:5156Issues:0Issues:0