Jizong's Fox's Projects
Xray panel supporting multi-protocol multi-user expire day & traffic & ip limit (Vmess & Vless & Trojan & ShadowSocks & Wireguard)
[NeurIPS 2023] AbdomenAtlas
Code for Semi-Supervised Learning by Augmented Distribution Alignment
PyTorch reimplementation of the paper `Semi-Supervised Learning by Augmented Distribution Alignment`
Experimental ADMM approach to neural networks
Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Avalanche: an End-to-End Library for Continual Learning.
A curated list of action recognition and related area resources
[SIGGRAPH'24] Code Release for "Bilateral Guided Radiance Field Processing"
⚡️快如闪电的bilibili下载工具,基于Python现代Async特性,高速批量下载整部动漫,电视剧,up投稿等。现已支持抖音等更多站点
A simple blog system based on Flask
Manage periodic breaks. Avoid eye-strain and RSI.
A lightweight tool for camera pose visualization
Right Ventricle Cardiac MRI Segmentation
Download City Scapes Dataset using script. This makes it easier when deploying on server.
🌩「自选优选 IP」测试 Cloudflare CDN 延迟和速度,获取最快 IP !当然也支持其他 CDN / 网站 IP ~
Contrastive Multiview Coding
CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).
:mortar_board: Path to a free self-taught education in Computer Science!
A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.
Evaluate three types of task shifting with popular continual learning algorithms.
Everything about my thesis