Zhiyuan-Ding

Zhiyuan-Ding's Stars

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook31.1k3.7k

• mahmoodlab/CLAM

  Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

  Language:Python1.1k362

• bmi-imaginelab/SI-MIL

  SI-MIL

  Language:Python212

• ClusterFormer/ClusterFormer

  Language:Python113

• OmnesRes/DeepTMB

  Language:Python2

• eiriniar/CellCnn

  Representation Learning for detection of phenotype-associated cell subsets

  Language:Jupyter Notebook6528

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX49.9k4.8k

• tencent-ailab/grover

  This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

  Language:Python33368

• matthiasnwt/feret

  Python module to calculate the Feret diameters and the corresponding values.

  Language:Python141

• stardist/stardist

  StarDist - Object Detection with Star-convex Shapes

  Language:Python918220

• 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 Notebook47.5k5.6k

• TissueImageAnalytics/CoNIC

  CoNIC Challenge

  Language:Jupyter Notebook5918

• zhangyubrain/DGCN-DynamicGCN

  Language:Python9

• BarasLab/SpatialUMAP

  SpatialUMAP - UMAP applied to spatially derived feature vectors from segmented single cell imaging data.

  Language:Python22