负熵为食's repositories
Awesome-LLM-Safety
A curated list of security-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the security implications, challenges, and advancements surrounding these powerful models.
Ali-loner.github.io
Ali-loner的个人主页
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
backdoor-learning-resources
A list of backdoor learning resources
Beta-VAE
Pytorch implementation of β-VAE
Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；本册有，584幅图，81个代码文件，其中18个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改
CBD
Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
imagenet_subsets
Provides functionalities to extract a subset of specified classes from the ImageNet dataset.
InfoMaxVAE
InfoMax-VAE pytorch implementation
label_consistent_attacks_pytorch
A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
lihang-code
《统计学习方法》的代码实现
llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
MachineLearning
纸上得来终觉浅，绝知此事要躬行
opencv
Open Source Computer Vision Library
practice-in-paddle
《神经网络与深度学习》案例与实践
PRML
PRML algorithms implemented in Python
pytorch-adversarial-attack
Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
symmetric_cross_entropy_for_noisy_labels
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
tools
工具之于人类，犹如翅膀之于鸟儿。一个聪明的现代人，必定是使用工具的高手！
ups
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
ups_conformal_classification
An Uncertainty-Aware Pseudo-Label Selection Framework using Regularized Conformal Prediction
Wasserstein-Backdoor
Unofficial implementation of NeurIPS 2021 paper Backdoor Attack with Imperceptible Input and Latent Modification.