Jasper-Bai

free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍，欢迎投稿

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

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

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.

wpa-dictionary

WPA/WPA2 密码字典，用于 wifi 密码暴力破解

leaf

Leaf: A Benchmark for Federated Settings

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

Lora-for-Diffusers

The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥

FedLab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

DeepInversion

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

Awesome-Federated-Learning-on-Graph-and-GNN-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

FedLab-benchmarks

Standard federated learning implementations in FedLab and FL benchmarks.

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。

RL_TSP_4static

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

numbers

Handwritten digits, a bit like the MNIST dataset.

CMI

[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation

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.

Knowledge-Enriched-DMI

DENSE

Official PyTorch implementation of DENSE (NeurIPS 2022)

GMI-Attack

Defend_MI

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

Data-Free-Learning-of-Student-Networks

vmi

Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021

tableak

TabLeak: Tabular Data Leakage in Federated Learning

GMI-Attack

stylegan2-ada-pytorch

StyleGAN2-ADA for generation of skin lesions

Generalized-SignSGD

chestXrayGAN

Learning to generate Chest X-Ray Images from sample data (DCGAN)