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 repositories

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

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

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reinforcement-learning

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

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massivemimobook

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.

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amc-release

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

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fastai

The fastai deep learning library, plus lessons and tutorials

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

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cpython

The Python programming language

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deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

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deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

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Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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distributional-dqn

Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

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dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

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mcnBReNorm

batch renomalization

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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nn-compression

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

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pytorch-weights_pruning

PyTorch Implementation of Weights Pruning

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RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

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ResNeXt

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

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ResNeXt.pytorch

Reproduces ResNet-V3 with pytorch

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reward-estimator-corl

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

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RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

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SENet

Squeeze-and-Excitation Networks

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sometimes_deep_sometimes_learning

A collection of DL experiments and notes

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tensorflow-speech-recognition

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

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torchprofile

A more general and accurate MACs / FLOPs profiler for PyTorch models.

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