Shahin Khobahi's repositories
deep1bitVAE
Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding
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/)
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
AE-Com-Roadmap
Collections of Papers and Codes about Communication Systems Built by Autoencoder
antenna-array-analysis
A simple GUI tool for antenna array analysis
awesome-persian-podcasts
لیست بهترین پادکستهای فارسی زبان :sound:
blackbox-backprop
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
e2e-model-learning
Task-based end-to-end model learning in stochastic optimization
FinanceOps
Research in investment finance with Python Notebooks
HackingNeuralNetworks
A small course on exploiting and defending neural networks
High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
mastering-python-for-finance-second-edition
Sources codes for: Mastering Python for Finance, Second Edition
paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Practical_RL
A course in reinforcement learning in the wild
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
RadioIsoGapArchive
آرشیو رادیو ایزو گپ فارسی که بین سال های 1390 تا 1393 پخش میشد
skhobahi.github.io
Personal Blog
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
tensorforce
TensorForce: A TensorFlow library for applied reinforcement learning