pingguokiller

mmcv

OpenMMLab Computer Vision Foundation

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

DenoisingNet_Adversarial_Training

PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks [torchattacks].

Adversarial-Example-Attack-and-Defense

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

Zotero_introduction

A Short Chinese Introduction to Zotero

singular_value_decomposition

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

MachineLearning

Machine learning resources

EMP-SSL

This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

SadTalker

[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

FishOASIS

Details about the components, assembly steps and software for FishOASIS Camera described in Pagniello et al. (2021) in Oceanography.

fish-datasets

Datasets of fish for deep learning.

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

In-Context-Learning_PaperList

Paper List for In-context Learning 🌷

FlexGen

Running large language models on a single GPU for throughput-oriented scenarios.

scu_thesis_2020

四川大学研究生学位论文模板LaTex(复刻官方word模板)Here you go!

ReduNet

ReduNet

bayesian-architecture-learning

Implementation of "Bayesian Learning of Neural Network Architectures"

DUAL

Code of Dual Active Learning for Both Model and Data Selection

BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

Deep-Bayesian-Active-Learning

Code for Deep Bayesian Active Learning (ICML 2017)

label-errors

🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet

RethinkingDeepActiveLearning

zero-cost-nas

Zero-Cost Proxies for Lightweight NAS

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of a contemporary GPU (such as NVIDIA's Fermi and GT200 architectures) running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.

D-VAE

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019