ichocolatee's Stars
PKUFlyingPig/cs-self-learning
计算机自学指南
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
MingchaoZhu/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
frgfm/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
TommyZihao/zihao_course
同济子豪兄的公开课
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
musikalkemist/AudioSignalProcessingForML
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
YixinChen-AI/CVAE-GAN-zoos-PyTorch-Beginner
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
anguyen8/XAI-papers
Evolving-AI-Lab/synthesizing
Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
metame-ai/awesome-audio-plaza
Daily tracking of awesome audio papers, including music generation, zero-shot tts, asr, audio generation
eclique/RISE
Detect model's attention
hy-zhao23/Explainability-for-Large-Language-Models
FAKEBOB-adversarial-attack/FAKEBOB
Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)
ruthcfong/invert
PyTorch implementation of Mahendran & Vedaldi, 2015: "Understanding Deep Image Representations by Inverting Them"
hysts/pytorch_D-RISE
A PyTorch implementation of D-RISE
SpeakerGuard/SpeakerGuard
a Pytorch library for security research on speaker recognition, released in "Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition" accepted by TDSC
lixucuhk/adversarial-attack-on-GMM-i-vector-based-speaker-verification-systems
Implementation of Adversarial Attacks on GMM i-vector based Speaker Verification Systems (ICASSP2020) https://arxiv.org/abs/1911.03078
ruthcfong/net2vec
Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
hnguyentt/cnn-visualization-keras-tf2
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
Nguyen-Hoa/Activation-Maximization
Python implementation of activation maximization with PyTorch.
fawazsammani/awesome-xai
Papers about Explainable AI (Deep Learning-based)
suzhigangssz/AVIH
Code for Visual Information Hiding Based on Obfuscating Adversarial Perturbations
zhaoyi2/xvector-cnceleb
kaldi based x-vector trained on Cn-Celeb
smallflyingpig/learning-to-fool-the-speaker-recognition
code for paper "learning to fool the speaker recognition"
myurasov/RISE
Implementation of "RISE: Randomized Input Sampling for Explanation of Black-box Models"
yhsmiley/ScaledYOLOv4
ndey96/deep-generator-network
Unofficial implementation of "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks" by Nguyen et al.