silver68211 Goto Github PK

awesome-deep-reinforcement-learning

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

awesome-graph-explainability-papers

Papers about explainability of GNNs

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

cs-video-courses

List of Computer Science courses with video lectures.

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deeplearning

dl-channeldecoding

On Deep Learning-based Channel Decoding

ecct

Error Correction Code Transformer

fashion-mnist-classification-using-convolutional-neural-network

Fashion MNIST dataset is a dataset of clothes with 10 categories. here, a Convolutional neural network along with K-Fold cross-validation has been used for the classification of this dataset. also, for investigating the effect of regularization in model performance, a range of regularization algorithms including Dropout, Batch-Normalization, and etc have been used. at the end of this code, Keras Tuner has been employed for exploring the best hyperparameter configuration.

genetic-algorithm-based-polar-code-construction

Genetic Algorithm-Based Polar Code Construction/Design

gnn-decoder

gnn-tutorial

Graph Neural Network Tutorial

gnn4com

graph-transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

graph-transformer-1

An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification) - IJCAI 2021

graph_attention_pool

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graphrnn

hgnn

Hypergraph Neural Networks (AAAI 2019)

huber-loss-function

In this model, I have tried to build a custom loss function

jcas_multitarg

Corresponding code to WSA/SCC 2023 contribution

kocodes

ldpc-codes

Software for Low Density Parity Check codes

lecture-examples

Sample scripts used in the lectures of the CEL (Communications Engineering Lab) at KIT

link-prediction

Representation learning for link prediction within social networks

lpdec

multi_output-neural-network

In this program, I tried to train a neural network for Energy efficiency Data Set. The dataset comprises 768 samples and 8 features, aiming to predict two real-valued responses.

multiple_antenna_communications

This repository contains the slides (in Powerpoint and PDF formats) for the course Multiple Antenna Communications, used 2021. Video recordings of all the slides (with voice over by Emil Björnson) can be found on YouTube.