LiangJunhao-THU

LiangJunhao-THU's Stars

• mahmoodlab/UNI

  Towards a general-purpose foundation model for computational pathology - Nature Medicine

  Language:Jupyter Notebook30840

• KatherLab/marugoto

  Tools to build deep learning pipelines.

  Language:Python8127

• KatherLab/STAMP

  Solid Tumor Associative Modeling in Pathology

  Language:Python4118

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB3.5k469

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.2k1.1k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python54.3k5.6k

• beneroth13/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method, own data set and own adapted training.

  Language:Jupyter Notebook366

• rina-ding/ssl_luad_classification

  Self-Supervised Learning for Histopathologic Subtype Classification

  Language:Python3

• aanna0701/SPT_LSA_ViT

  Implementation of Visual Transformer for Small-size Datasets

  Language:Python11616

• vqdang/H2T

  Language:Python355

• srinidhiPY/SSL_CR_Histo

  Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

  Language:Python6221

• zilongzhong/SSTN

  PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

  Language:Python10623

• cabooster/SRDTrans

  SRDTrans: Spatial redundancy transformer for self-supervised fluorescence image denoising

  Language:Python677

• zsylvester/segmenteverygrain

  A SAM-based model for instance segmentation of images of grains

  Language:Jupyter Notebook45147

• wanghao14/Stain_Normalization

  Some stain normalization code

  Language:Jupyter Notebook8431

• KatherLab/preprocessing-ng

  Language:Python74

• KatherLab/preProcessing

  Language:Python4312

• KatherLab/cancer-metadata

  machine-readable information for the TCGA dataset, mirrored from other sources

  144

• Biooptics2021/PathFinder

  Language:Jupyter Notebook414

• suinleelab/vit-shapley

  Language:Python256

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.6k2.2k

• Tony-Y/pytorch_warmup

  Learning Rate Warmup in PyTorch

  Language:Python38625

• huggingface/diffusion-models-class

  Materials for the Hugging Face Diffusion Models Course

  Language:Jupyter Notebook3.6k385

• cxli233/ggtraces

  A tidyverse and grammar of graphics powered line traces visualizer

  262

• agentdr1/LA_MIL

  Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch

  Language:Python22

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.8k3k

• mahmoodlab/PORPOISE

  Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

  Language:Jupyter Notebook18335

• taesungp/contrastive-unpaired-translation

  Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

  Language:Python2.2k414

• Project-MONAI/research-contributions

  Implementations of recent research prototypes/demonstrations using MONAI.

  Language:Python998330

• dcela/chexpert

  Multi-label, multi-class classification of chest X-ray images using PyTorch

  Language:Jupyter Notebook226