Jasper-Bai's Stars
justjavac/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
wang-xinyu/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
Fafa-DL/Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
RangiLyu/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Charmve/Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
conwnet/wpa-dictionary
WPA/WPA2 密码字典,用于 wifi 密码暴力破解
TalwalkarLab/leaf
Leaf: A Benchmark for Federated Settings
haofanwang/Lora-for-Diffusers
The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
speedinghzl/pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
SMILELab-FL/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
NVlabs/DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
huweibo/Awesome-Federated-Learning-on-Graph-and-GNN-papers
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
SMILELab-FL/FedLab-benchmarks
Standard federated learning implementations in FedLab and FL benchmarks.
guo-pu/NanoDet-PyTorch
基于NanoDet项目进行小裁剪,专门用来实现PyTorch 版本的代码,下载直接能使用,支持图片、视频文件、摄像头实时目标检测。
kevin031060/RL_TSP_4static
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
kensanata/numbers
Handwritten digits, a bit like the MNIST dataset.
zju-vipa/CMI
[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
cpwan/Attack-Adaptive-Aggregation-in-Federated-Learning
This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
SCccc21/Knowledge-Enriched-DMI
zj-jayzhang/DENSE
Official PyTorch implementation of DENSE (NeurIPS 2022)
AI-secure/GMI-Attack
AlanPeng0897/Defend_MI
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
bolianchen/Data-Free-Learning-of-Student-Networks
wangkua1/vmi
Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021
eth-sri/tableak
TabLeak: Tabular Data Leakage in Federated Learning
MKariya1998/GMI-Attack
sancarlim/stylegan2-ada-pytorch
StyleGAN2-ADA for generation of skin lesions
zhenxun-zhuang/Generalized-SignSGD
umeshksingla/chestXrayGAN
Learning to generate Chest X-Ray Images from sample data (DCGAN)