minhthangbk Goto Github PK
Name: Thang Nguyen
Type: User
Bio: a curious person
Thang Nguyen's Projects
cloudsim
CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services
cluster-data
Borg cluster traces from Google
cnn_classifications
Convolutional Neural Networks for image recognition and classification
cocoapi
COCO API - Dataset @ http://cocodataset.org/
codes-for-deep-transfer-learning-based-downlink-channel-prediction-for-fdd-massive-mimo-systems
Data-Generation-and-Codes-for-Deep-Transfer-Learning-Based-Downlink-Channel-Prediction-for-FDD-Massive-MIMO-Systems
competitive-cell-free
Simulation code for “Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation,” by Emil Björnson and Luca Sanguinetti, IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 77-90, January 2020
complexpytorch
A high-level toolbox for using complex valued neural networks in PyTorch
coord-sim
Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).
coursera_how-to-win-a-data-science-competition-learn-from-top-kagglers
Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
cplex-python
Introduction to Cplex & Python
cplxmodule
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
crash_course_on_rl
This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
cvnn
Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end
cvrl
code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
d-ladmm
The code for Differentiable Linearized ADMM (ICML 2019)
darts
A python library for easy manipulation and forecasting of time series.
dask-tutorial
Dask tutorial
dataset
Open RadioML Synthetic Benchmark Dataset
ddpg
Tensorflow implementation of a Deep Deterministic Policy Gradient (DDPG) network, trained on OpenAI Gym environments.
ddpg-tensorflow
a simple demo of pendulem control using DDPG algorithm
decentralizedfeedforwardequalizer
Simple MATLAB simulator for decentralized feedforward equalization in massive MU-MIMO systems
decentralizedfeedforwardprecoder
MATLAB code for decentralized feedforward precoding in massive MU-MIMO systems
deep-bayesian-quadrature-policy-optimization
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
deep-ee-opt
Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, and Merouane Debbah, submitted to IEEE Transactions on Signal Processing.
deep-learning-based-csi-estimation-for-5g-communication
A framework to estimate the Channel State Information for a 5G communication
deep-learning-channel-estimation
Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deep-learning-walkthrough
Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.
deep-q-learning-based-downlink-power-allocation
A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.
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