Pinned Repositories
Active-Learning-Bayesian-Convolutional-Neural-Networks
Active Learning on Image Data using Bayesian ConvNets
active-testing
Active and Sample-Efficient Model Evaluation
awesome-industrial-machine-datasets
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
budget-learning
CCSA_PyTorch
PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
conditional-molecular-design-ssvae
wafer-map-active-learning
Implementation of "Active Learning of Convolutional Neural Network for Cost-effective Wafer Map Pattern Classification".
sjw821's Repositories
sjw821/wafer-map-active-learning
Implementation of "Active Learning of Convolutional Neural Network for Cost-effective Wafer Map Pattern Classification".
sjw821/active-testing
Active and Sample-Efficient Model Evaluation
sjw821/awesome-industrial-machine-datasets
sjw821/BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
sjw821/budget-learning
sjw821/CCSA_PyTorch
PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
sjw821/conditional-molecular-design-ssvae
sjw821/cwcf
Source code for paper Classification with Costly Features using Deep Reinforcement Learning.
sjw821/dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
sjw821/DANN
pytorch implementation of Domain-Adversarial Training of Neural Networks
sjw821/dcbrain
dcbrain
sjw821/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
sjw821/deep-learning-specialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
sjw821/Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
sjw821/deeplearning.ai
Some work of Andrew Ng's course on Coursera
sjw821/dl_tutorial
Tutorials for deep learning
sjw821/eif
Extended Isolation Forest for Anomaly Detection
sjw821/fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
sjw821/GOAD
Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
sjw821/GraphDataset
Water System Industrial Network Dataset
sjw821/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
sjw821/mixed-segdec-net-comind2021
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
sjw821/mvtecad
sjw821/Opportunistic
sjw821/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
sjw821/pytorch-template
PyTorch deep learning projects made easy.
sjw821/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
sjw821/selectivenet
code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
sjw821/TensorFlow-Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
sjw821/test