xinshaoamoswang Goto Github PK

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

blackbox-adversarial-toolbox

Distributed Black-Box Attacks against Image Classification.

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

cd_adversaries_in_attention

cifar10_challenge

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

dag

Adversarial Examples for Semantic Segmentation and Object Detection

deep-metric-embedding

Papers and Codes about Deep Metric Learning/Deep Embedding

deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deep_metric

Deep Metric Learning

deepcriticallearning

Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

deepdetect

Deep Learning API and Server in C++11 support for Caffe, Caffe2, Dlib, Tensorflow, XGBoost and TSNE

deepecg

ECG classification programs based on ML/DL methods

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

derivativemanipulation

In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?

dl-ecg-review

A Review of Deep Learning Methods on ECG Data

dn_caffescript

ecg-arrhythmia-classification

ECG arrhythmia classification using a 2-D convolutional neural network

ecg-arrhythmia-classification-in-2d-cnn

This is an implementation based on this paper, "ECG arrhythmia classification using a 2-D convolutional neural network", Tae Joon Jun et al., CVPR 2018." with some personal modifications

ecg_heartbeat_classification

CNN for heartbeat classification

editanything

Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc.

enrichment-analysis

From RNA-seq raw reads to enriched pathways by DEGs

faiss

A library for efficient similarity search and clustering of dense vectors.

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

heated_up_softmax_embedding

Project page for Heated-up Softmax Embedding

hydejack

"Best Jekyll Theme by a Mile"

improving-mean-absolute-error-against-cce

Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters

lectures

repository with the lectures for MLSS Skoltech

mnist_challenge

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