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tensorflow_deep_taylor_lrp

Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow

tensorflow_learn

share examples of tensorflow

topofilter

NeurIPS 2020, "A Topological Filter for Learning with Label Noise".

torch_ssl

An efficient implementation of Successive Subspace Learning using PyTorch library.

understanding-nn

Tensorflow tutorial for various Deep Neural Network visualization techniques

unicon-noisy-label

Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

usc-ee569

Coursework for EE569 (Digital Image Processing) at USC for the Spring 2021 Semester

usc-ee569-digital_image_processing

Homework Solutions for USC - EE569 (Introduction to Digital Image Processing) of Spring 2020 taught by Professor C.C. Jay Kuo

vib-gsl

Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022

vision-transformer

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

vision_transformer

visualdl

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

whitebox_blackbox

Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"

xgboost-smote-detect-fraud

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!