ledihdug's Stars
CharlieDinh/DONE
Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)
dpgaspar/Flask-AppBuilder
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
facebookresearch/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
emilbjornson/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.
imtiaztee/EE-Hello-Adaptive-Hello-Interval-for-FANETs
NS3-3.27 implementation code for the proposal of the paper entitled "Adaptive Hello Interval in FANET Routing Protocols for Green UAVs"
liynjy/Simulation-FMCW-millimeter-wave-altimeter-radar-for-UAV
Simulation of FMCW millimeter wave altimeter radar for UAV
sdrangan/wirelesscomm
Teaching material for wireless communications
sdrangan/mmwchanmod
MmWave channel modeling repository
zhiwehu/Python-programming-exercises
100+ Python challenging programming exercises
DFRobot/DFRobot_TCS34725_old
mirceamironenco/BayesianRecurrentNN
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
lanpa/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
spro/practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
nitrain/nitrain
Train AI models efficiently on medical images using any framework
arkmagus/tensor_rnn
An implementation of various tensor-based decomposition for NN & RNN parameters
wohlert/semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
google-deepmind/sonnet
TensorFlow-based neural network library
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
szagoruyko/pytorchviz
A small package to create visualizations of PyTorch execution graphs
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
anhquan0412/basic_model_scratch
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
mablatnik/Algorithmic-Toolbox
This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.
afshinea/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
lasseufpa/5gm-data
Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)