Pinned Repositories
amc-release
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices.
DRL-wireless-networks
Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events
fastai
The fastai deep learning library, plus lessons and tutorials
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
Location-Aware--AODV-Routing-Protocol-in-MANETs
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
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
predicting-battery-lifetime
Predicting battery lifetime. cs229 final project, Fall 2018
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
sionna
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
kien-vu's Repositories
kien-vu/DRL-wireless-networks
Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events
kien-vu/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
kien-vu/adaptiveFS
Adaptive feature selection using reinforcement learning
kien-vu/geometric-deep-learning
kien-vu/StableDiffussion
course.fast.ai Lesson 9: Deep Learning Foundations to Stable Diffusion, 2022
kien-vu/predicting-battery-lifetime
Predicting battery lifetime. cs229 final project, Fall 2018
kien-vu/sionna
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
kien-vu/Atari
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
kien-vu/automl
Google Brain AutoML
kien-vu/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
kien-vu/Cyclic-Voltammetry-Simulator
A simple cyclic voltammetry simulator, built as a MATLAB app. Based on Appendix B in Bard & Faulkner.
kien-vu/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
kien-vu/efficient-object-detection-model-on-PyTorch
[FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Designed deformable convolution.
kien-vu/first-cycle-SEI-on-carbon-black
Figures for paper on first cycle SEI growth on carbon black
kien-vu/haq-release
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
kien-vu/ILA-DPD
kien-vu/mimobook
kien-vu/models
Models and examples built with TensorFlow
kien-vu/Neural-Net-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
kien-vu/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
kien-vu/PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
kien-vu/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
kien-vu/PySyft
A library for answering questions using data you cannot see
kien-vu/pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
kien-vu/qonnx-Representing-Arbitrary-Precision-Quantized-Neural-Networks
Representing Arbitrary-Precision Quantized Neural Networks
kien-vu/SCTP_NKE_ElCapitan
A version of the SCTP NKE running on Mac OS X 10.11 (El Capitan)
kien-vu/smoothquant
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
kien-vu/tinyml
kien-vu/tpu
Reference models and tools for Cloud TPUs.
kien-vu/vision
Datasets, Transforms and Models specific to Computer Vision