Kien Vu (kien-vu)

kien-vu

Geek Repo

Company:Telecommunications

Location:Finland

Home Page:https://www.linkedin.com/in/kienvu268/

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Kien Vu's starred repositories

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

License:MITStargazers:2Issues:0Issues:0

adaptiveFS

Adaptive feature selection using reinforcement learning

License:BSD-2-ClauseStargazers:1Issues:0Issues:0

DRL-wireless-networks

Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events

Language:PythonStargazers:12Issues:0Issues:0

PySyft

Perform data science on data that remains in someone else's server

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:9385Issues:0Issues:0

nn-compression

A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)

Language:PythonLicense:AGPL-3.0Stargazers:153Issues:0Issues:0

amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Language:PythonLicense:MITStargazers:422Issues:0Issues:0

torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

Language:PythonLicense:MITStargazers:548Issues:0Issues:0

haq

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Language:PythonLicense:MITStargazers:362Issues:0Issues:0

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Language:Jupyter NotebookLicense:MITStargazers:3Issues:0Issues:0

caffe

Caffe: a fast open framework for deep learning.

Language:C++License:NOASSERTIONStargazers:33994Issues:0Issues:0

How-to-change-the-make-file-in-NS2

There are some documents related to NS2, which helps you understand and implement the routing protocols in NS2.

License:GPL-3.0Stargazers:2Issues:0Issues:0

ln-game-theory

Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.

Language:MatlabStargazers:2Issues:0Issues:0

Path-Selection-and-Rate-allocation-in-Self-backhauled-mmWave-Networks

This is a Matlab code package is related to the article : Path Selection and Rate Allocation for URLLC in Self-backhauled mmWave 5G Networks

Language:MATLABLicense:GPL-3.0Stargazers:38Issues:0Issues:0

Joint-User-Association-and-In-band-Backhaul-Scheduling-and-in-5G-mmWave-Networks

Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

Language:MatlabStargazers:39Issues:0Issues:0

ecos

A lightweight conic solver for second-order cone programming.

Language:CLicense:GPL-3.0Stargazers:458Issues:0Issues:0

Mobility-Assisted-on-Demand-Routing-Algorithm-for-MANETs-in-the-Presence-of-Location-Errors

Trung Kien Vu and Sungoh Kwon, “Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors,” The Scientific World Journal, vol. 2014, Article ID 790103, 11 pages, 2014. doi:10.1155/2014/790103

Language:C++License:GPL-3.0Stargazers:6Issues:0Issues:0

massive-MIMO-small-cells

Simulation code for “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination” by Emil Björnson, Marios Kountouris, Mérouane Debbah, Proceedings of International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013.

Language:MatlabStargazers:46Issues:0Issues:0

mf_cvxpy

A Python-embedded modeling language for convex optimization problems.

Language:PythonLicense:GPL-3.0Stargazers:13Issues:0Issues:0

sedumi

SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave

Language:CLicense:GPL-2.0Stargazers:232Issues:0Issues:0