Nilsson-D

Nilsson-D's Stars

• wzchen/probability_cheatsheet

  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

  Language:TeX3k695

• ScilifelabDataCentre/serve-tutorials

  Tutorials for running applications on Scilifelab Serve.

  Language:Jupyter Notebook51

• mikelove/awesome-multi-omics

  List of software packages for multi-omics analysis

  725162

• aifimmunology/PALMO

  Identify Intra-, Inter-donor variations in bulk or single cell longitudinal dataset

  Language:R174

• gao-lab/GLUE

  Graph-linked unified embedding for single-cell multi-omics data integration

  Language:Python37956

• slideflow/slideflow

  Powerful, open-source AI tools for digital pathology.

  Language:Python26144

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.6k489

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.4k396

• qupath/qupath-extension-instanseg

  The official QuPath extension for InstanSeg

  Language:Java105

• instanseg/instanseg

  Language:Python11013

• BIOP/qupath-groovy-python-runner

  A proof of concept to run python segmentations and recovering the results within QuPath

  Language:Groovy18

• amarinderthind/RNA-seq-tutorial-for-gene-differential-expression-analysis

  This RNAseq data analysis tutorial is created for educational purpose

  Language:R3013

• SwinTransformer/Transformer-SSL

  This is an official implementation for "Self-Supervised Learning with Swin Transformers".

  Language:Python62467

• MLO-lab/MuVI

  A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.

  Language:Python292

• TIO-IKIM/CellViT

  CellViT: Vision Transformers for Precise Cell Segmentation and Classification

  Language:Python23037

• AlexsLemonade/training-modules

  A collection of modules that are combined into 1-5 day workshops on computational topics for the childhood cancer research community.

  Language:HTML6128

• IDEA-Research/MaskDINO

  [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

  Language:Python1.2k105

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.1k809

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.4k5.6k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.4k7.5k

• kornia/kornia

  Geometric Computer Vision Library for Spatial AI

  Language:Python9.9k967

• facebookresearch/Mask2Former

  Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

  Language:Python2.5k384

• NBISweden/workshop-spatial

  Language:Jupyter Notebook618

• NBISweden/workshop-scRNAseq

  Single cell RNA sequencing analysis course

  Language:HTML19599

• NBISweden/workshop-RNAseq

  Workshop • Analysis of RNA-seq data

  Language:CSS3314

• aniketpotabatti/Data-Science-EBooks

  This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.

  382145

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook38.6k4.1k

• huangch/qust

  QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis

  Language:Python82

• ashishpatel26/Andrew-NG-Notes

  This is Andrew NG Coursera Handwritten Notes.

  Language:Jupyter Notebook2.6k1k

• ashishpatel26/Treasure-of-Transformers

  💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

  Language:Jupyter Notebook921202