skhobahi's Stars
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Hvass-Labs/FinanceOps
Research in investment finance with Python Notebooks
leduvu/RVNN-and-CVNN
Real valued neural networks (RVNN) and complex valued neural networks (CVNN) (Akira Hirose, 2012).
jamesmawm/mastering-python-for-finance-second-edition
Sources codes for: Mastering Python for Finance, Second Edition
PerformanceEstimation/Performance-Estimation-Toolbox
Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.
Kayzaks/HackingNeuralNetworks
A small course on exploiting and defending neural networks
HighTemplar-wjiang/WirelessComm-functions
Some useful Matlab functions
meysamsadeghi/cost2100
This is the COST2100 channel model, a MATLAB implementation of a spatially consistent radio channel model for MIMO and Massive MIMO communication. Originally developed within COST 2100 (http://www.cost2100.org/) and then further extended in COST IC 1004 (http://www.ic1004.org/) and COST CA15104 IRACON (http://www.iracon.org/)
nirshlezinger1/DeepSIC
Data-driven implementaion of soft iterative interference cancellation for MIMO detection
HzFu/COVID19_imaging_AI_paper_list
COVID-19 imaging-based AI paper collection
chirag126/CoroNet
CoroNet: A Deep Network Architecture for Semi-Supervised Task-Based Identification of COVID-19 from Chest X-ray Images (https://www.medrxiv.org/content/10.1101/2020.04.14.20065722v1)
jamesmawm/High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
tinyxuyan/AE-Com-Roadmap
Collections of Papers and Codes about Communication Systems Built by Autoencoder
dyn4mik3/OrderBook
Matching Engine for Limit Order Book
ieee8023/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
arindam-bose/latex-symbols-template
Short symbol commands for LaTex
kingofnull/RadioIsoGapArchive
آرشیو رادیو ایزو گپ فارسی که بین سال های 1390 تا 1393 پخش میشد
rookiepeng/antenna-array-analysis
A simple GUI tool for antenna array analysis
choderalab/moldr
Manifold optimization for linear dimensionality reduction of MD trajectories
Haoran-S/TSP-DNN
Training Deep Neural Networks for Wireless Resource Management
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
yalmip/YALMIP
MATLAB toolbox for optimization modeling
shagunsodhani/Graph-Reading-Group
Weekly reading group on Graphs at Mila
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
krishnakumarsekar/awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
instillai/TensorFlow-Course
:satellite: Simple and ready-to-use tutorials for TensorFlow
mborgerding/onsager_deep_learning
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
zl376/admm_newton_con
Newton ADMM method with linear inequality constraints
pyRiemann/pyRiemann
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python