Implements the N-Jet layer from "Resolution learning in deep convolutional networks using scale-space theory", TIP, 2021

View model summaries in PyTorch!

Conditional convolution (Dynamic convolution) in tensorflow2

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

Here we try to implement deformable convolution from scratch without using most of the pytorch built-in functions. Deformable Convolution add 2D offsets to the positional locations of grid sampling…

[AAAI'24] Official Pytorch Code for Learning to Approximate Adaptive Kernel Convolution on Graphs

Optimization Adaptive Kernel Convolutional Neural Network using Adagrad Algorithm

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

Repo for Adaptive Sized Convolution Kernel for Neural Networks using Gaussian Envelopes

[IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Aleja…

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…

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

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

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

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

Joint Source Channel Coding of Images With Feedback

Official repository for downloading and using Inter4K video interpolation dataset

Matlab demos for data adaptive dynamic and diffusion MRI

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

Super Resolution Recurrent GAN

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

Anomaly detection using GAN and RL

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

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

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…

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

Implementation of TRPO and related algorithms