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swansealeo's Projects

active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

adjustbnd4imbalance

Adjust Decision Boundary for Class Imbalanced Learning

adversarial_active_learning

Adversarial Active Learning for Deep Networks

adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

agency-jekyll-theme

Agency Theme for Jekyll

ai-blog

Accompanying repository for Let's make a DQN / A3C series.

alocc-cvpr2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

alocc_keras

Keras implementation of Adversarially Learned One-Class Classifier or ALOCC for short.

anomaly-detection-ocgan-tensorflow

Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

arduboy2

An alternative library for the Arduboy miniature game system

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

autokeras

accessible AutoML for deep learning.

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks and libraries. | 类别不平衡学习：论文/代码/框架/库

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

bayesian-methods-for-machine-learning

Bayesian Methods for Machine Learning

bayesian_cnn

Bayes by Backprop implemented in a CNN in PyTorch

bayesiancnn

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

bayesianneuralnetwork

a repo sharing Bayesian Neural Network recent papers

bbalpha_pytorch

pytorch implementation of ICML 17 paper "Dropout inference in Bayesian neural networks with alpha-divergences"

beliefbox

Automatically exported from code.google.com/p/beliefbox

blockchain_guide

A book to introduce blockchain related techniques.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

classification_models

Classification models trained on ImageNet. Keras.

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

cleanlab

Finding label errors in datasets and learning with noisy labels.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

confidentlearning-reproduce

Official data release to reproduce Confident Learning paper results

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