Name: Zijie Fang
Type: User
Company: Tsinghua Shenzhen International Graduate School
Bio: Currently working towards my Master 's degree in Computer Technology at Tsinghua Shenzhen International Graduate School, Tsinghua University.
Location: Shenzhen, China
Zijie Fang's Projects
Official repository of Agent Attention
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
clash-for-linux
Deep Learning for Spatio-Temporal Data
编译原理(紫龙书)中文第2版习题答案。Compilers Principles, Techniques, & Toos (purple dragon book) second edition practice answer.
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
✍ 一款优秀的开源博客发布应用。
The iFogSim Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments
Official ImageNet Model repository
A directory of the best-looking themes for Jekyll blogs
A Trained Network for Histopathology Image Representation
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
MuRCL: Multi-instance Reinforcement Contrastive Learning for Whole Slide Image Classification
Naive baseline for microscopy image segmentation challenge in NeurIPS 2022
Code Repository for AAAI23 paper "Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint"
Sequencer: Deep LSTM for Image Classification
C++课设
A jekyll theme, simple and clear, compatible with PC iPad and Phone (RWD)
[ICCV2023] XNet: Wavelet-Based Low and High Frequency Merging Networks for Semi- and Supervised Semantic Segmentation of Biomedical Images