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
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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.
amc-release
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices.
fastai
The fastai deep learning library, plus lessons and tutorials
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
cpython
The Python programming language
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
deep-reinforcement-learning-gym
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
distributional-dqn
Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.
dlbook_exercises
Exercises for the Deep Learning textbook at www.deeplearningbook.org
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
mcnBReNorm
batch renomalization
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
nn-compression
A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
pytorch-weights_pruning
PyTorch Implementation of Weights Pruning
RAdam
On The Variance Of The Adaptive Learning Rate And Beyond
ResNeXt
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
ResNeXt.pytorch
Reproduces ResNet-V3 with pytorch
reward-estimator-corl
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
SENet
Squeeze-and-Excitation Networks
sometimes_deep_sometimes_learning
A collection of DL experiments and notes
tensorflow-speech-recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
torchprofile
A more general and accurate MACs / FLOPs profiler for PyTorch models.