xiaohumiaoxian

xiaohumiaoxian's Stars

• yfeng95/GAN

  Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

  Language:Python2.9k8313790

• HackerPoet/Composer

  Generates video game music using neural networks.

  Language:Python1.1k5536188

• limbee/NTIRE2017

  Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

  Language:Lua6532738146

• joschu/modular_rl

  Implementation of TRPO and related algorithms

  Language:Python6193622155

• ikostrikov/pytorch-trpo

  PyTorch implementation of Trust Region Policy Optimization

  Language:Python431132092

• zzh-tech/ESTRNN

  [ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

  Language:Python31044639

• revenol/LyDROO

  Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

  Language:Python2064750

• TaoWangzj/LLFormer

  The code release of paper "AAAI Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method", AAAI 2023

  Language:Python16621210

• iSarmad/RL-GAN-Net

  Official Repository of CVPR 2019 Paper : RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

  Language:Python1229742

• AFNANAMIN/Resource-Allocation-using-deeprl

  Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

  Language:Python903628

• kurka/deepJSCC-feedback

  Joint Source Channel Coding of Images With Feedback

  Language:Python686619

• Shahid-Mohammed-Shaikbepari/Deep-Reinforcement-Learning-for-cloud

  Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing

  Language:Python661119

• FVC2018/DLVC

  Language:C++620621

• alexxu1988/ADJSCC

  adaptive/attention deep joint source channel coding

  Language:Python5821012

• cly1994jlu/UARA-DRL

  This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in heterogenous networks. The model is basd on deep-Q-network (DQN) and DDQN.

  Language:Python582219

• dingmyu/NCP

  Learning Versatile Neural Architectures by Propagating Network Codes

  Language:Python38327

• rcheng805/CORE-RL

  Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcement Learning" for additional details.

  Language:Python32115

• alexandrosstergiou/Inter4K

  Official repository for downloading and using Inter4K video interpolation dataset

  Language:Python26242

• iaroslav-ai/gan-rl

  Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment

  Language:Python23612

• alexis-anzaldo/Deep-Reinforcement-Learning-for-resource-allocation-in-wireless-networks

  Language:Python21102

• MahanFathi/TRPO-TensorFlow

  Trust Region Policy Optimization (TRPO) in pure TensorFlow

  Language:Python18229

• facebookresearch/WhereDidMyOptimumGo

  An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods - EWRL Workshop 2018

  Language:Python15805

• sajanglingala/data_adaptive_recon_MRI

  Matlab demos for data adaptive dynamic and diffusion MRI

  Language:C++11104

• OmkarThawakar/SR2GAN

  Super Resolution Recurrent GAN

  9100

• madcpt/AnomalyDetector

  Anomaly detection using GAN and RL

  Language:Python6202

• anshulkhilrani/Adversarial-Neural-Network-Simulation-using-GANs

  We are trying to see if neural networks can learn to use secret keys to protect communications from other neural networks. Specifically, we are focusing on ensuring the confidentiality in a network with multiple agents and we specify these properties in the form of an adversary. Thus, we are trying to limit the information gleaned by Eve from a communication between Bob and Alice by eavesdropping on them. There are no specific cryptographic algorithms being assigned to these networks, rather we train them end to end adversarially.

  Language:Python5100

• esoreq/WM

  Decoding working-memory domains and sub-processes from dynamic network states

  Language:MATLAB4000

• tuzm24/ADCNN

  Convolutional neural network based In-loop filter using additional information for video codec

  Language:Python41

• cabosanlucas/videogan

  Implementation of Recurrent Generative Adversarial Neural Network for video generation

  Language:Python22

• HrishikeshVish/VideoBoost

  A GAN based neural network to improve the resolution of videos

  Language:Python1200