Pinned Repositories
BayesianBWM
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.
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Image-Super-Resolution-Using-VAE-GAN-with-PyTorch
The model uses the AE-GAN (Autoencoder Generative Adversarial Network) architecture for generating upsampled images. The model is trained on Celeb-A image (1024 x 1024) dataset where input image is of 128x128 and generated image is of shape 480x480.
L2D
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
order-scheduling
RL-Job-Shop-Scheduling
Reinforcement learning approach for job shop scheduling
SPADE-pytorch
PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"
Task-Scheduling-Heuristics
Set of heuristics used to sequence tasks in order to minimize costs related to delays and advances.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
wu33learn's Repositories
wu33learn/SPADE-pytorch
PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"
wu33learn/order-scheduling
wu33learn/BayesianBWM
wu33learn/Task-Scheduling-Heuristics
Set of heuristics used to sequence tasks in order to minimize costs related to delays and advances.
wu33learn/L2D
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
wu33learn/RL-Job-Shop-Scheduling
Reinforcement learning approach for job shop scheduling
wu33learn/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
wu33learn/Image-Super-Resolution-Using-VAE-GAN-with-PyTorch
The model uses the AE-GAN (Autoencoder Generative Adversarial Network) architecture for generating upsampled images. The model is trained on Celeb-A image (1024 x 1024) dataset where input image is of 128x128 and generated image is of shape 480x480.
wu33learn/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.