NIUYI0511

NIUYI0511's Stars

• 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:Python56.7k4591325.8k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k600183k

• xtaci/algorithms

  Algorithms & Data structures in C++.

  Language:C++5.3k369251.5k

• MLNLP-World/DeepLearning-MuLi-Notes

  Notes about courses Dive into Deep Learning by Mu Li

  Language:Jupyter Notebook3.4k383548

• DarLiner/Algorithm_Interview_Notes-Chinese

  2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

  Language:Python2.2k373510

• Renovamen/Speech-Emotion-Recognition

  Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

  Language:Python1k1551216

• cantjie/XJTU-Share

  西安交通大学课程资料共享计划

  Language:C53913093

• bubbliiiing/facenet-pytorch

  这是一个facenet-pytorch的库，可以用于训练自己的人脸识别模型。

  Language:Python427240108

• bubbliiiing/classification-pytorch

  这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

  Language:Python40353679

• histolab/histolab

  Library for Digital Pathology Image Processing

  Language:Python379615259

• mahmoodlab/UNI

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

  Language:Jupyter Notebook35374249

• mmaaz60/EdgeNeXt

  [CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

  Language:Python35162040

• faustomorales/vit-keras

  Keras implementation of ViT (Vision Transformer)

  Language:Python33883880

• Xiyue-Wang/TransPath

  Language:Python27144736

• vkola-lab/tmi2022

  A graph-transformer for whole slide image classification

  Language:Python15352035

• mahmoodlab/Patch-GCN

  Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

  Language:Python12753429

• DearCaat/RRT-MIL

  [CVPR 2024] Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology

  Language:Python852138

• HKU-MedAI/WSI-HGNN

  [CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

  Language:Python754147

• bubbliiiing/classification-keras

  这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

  Language:Python674617

• WonderLandxD/WiKG

  [CVPR 2024] Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis

  Language:Python49233

• wbwj/2018-graduation-project

  毕业设计，基于人脸识别的智能家居控制系统

  Language:Python40209

• ivishalanand/Speech-Emotion-Recognition-Using-Deep-CNN

  The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

  Language:Jupyter Notebook36027

• biomed-AI/Hist2ST

  Language:Jupyter Notebook32159

• HKU-MedAI/HIGT

  [MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

  Language:Python30251

• Dootmaan/DTFD-MIL.PyTorch

  Unofficial implementation of CVPR2022 paper DTFD-MIL. Use the official CAMELYON16 dataset instead of the .pickle file used in the official DTFT-MIL repo.

  Language:Python26180

• Cassie07/Review_Molecular_profile_prediction_GNN

  [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profile Prediction in Colon Cancer Histopathology: A Retrospective Multicentre Cohort Study"

  Language:Python25335

• yrjia1015/THItoGene

  Code for the THItoGene

  Language:Python16151

• Zhaofan-Su/SpeechEmotionRecognition

  Language:Python15126

• Baeksweety/superpixel_transformer

  Language:Python13170

• qpskfw/wsi-het-graph

  Histopathology Image Analysis with Heterogeneous Graph Representation Learning

  Language:Python1