salmanmohebi Goto Github PK

detpoisson_python

Simulates a random determinantally-thinned Poisson point process on a rectangle.

dl-comp-machine-learning

Code for my publication: F. B. Mismar and B. L. Evans, "Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks", IEEE Wireless Communication Letters, vol. 8, no. 4, Aug. 2019, pp. 1040-1043, DOI 10.1109/LWC.2019.2904686.

dpp-vfx

Experiments for the first very fast and exact DPP sampler (Dereziński M, Calandriello D, Valko M. Exact sampling of determinantal point processes with sublinear time preprocessing. NeurIPS 2019)

dppl

Matlab scripts for the paper "Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks"

dppy

Python toolbox for sampling Determinantal Point Processes

farsi_sudoku_solver

I can solve Persian sudoku.

gnn-gcp

Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hierarchical-actor-critc-hac-

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

ignnition

Framework for fast prototyping of Graph Neural Networks

integer_discrete_flows

Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression." Conference on Neural Information Processing Systems (2019).

intro-to-dl

Resources for "Introduction to Deep Learning" course.

itu-challenge-ml5g-phy

Examples of implementations with the Raymobtime database available for ITU AI/ML 5G Challenge

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

keras-rl

Deep Reinforcement Learning for Keras.

massivemimobook

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

ml-agents

Unity Machine Learning Agents Toolkit

mlsh

Code for the paper "Meta-Learning Shared Hierarchies"

models

Models and examples built with TensorFlow

multi-agent-reinforcement-learning-environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

n-beats

ns3-gym

ns3-gym - The Playground for Reinforcement Learning in Networking Research

ns3-mmwave

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

ns3-mmwave-iab

IAB feature for the ns-3 mmWave module

optimal_resource_allocation_using_reinforcement_learning

Decision making using Reinforcement Learning

option-critic

A Tensorflow implementation of the Option-Critic Architecture

pae

Probabilistic Auto-Encoder

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

pilot-power-control-for-cell-free-massive-mimo

Written by Dr Trang Mai ([email protected])

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)