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PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Build your neural network easy and fast, 莫烦Python中文教学
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Repo for Udacity's Secure & Private AI course
Statistics and accepted paper list of NLP conferences with arXiv link
Assorted Jupyter notebooks by Daniel Estévez
Codes for efficiently implementing quantum neural network classifiers
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
Project to train/evaluate convolutional neural networks to count cars from COWC aerial images
SIADS-591 Milestone I Project - Orbital Congestion
Notebook for Netmob 2023 Data Challenge
A Networking Perspective on Starlink’s Self-Driving LEO Mega-Constellation
Data collection, models, and fingerprinting code for "Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting"
Artifacts Release: A Case for Stateless Mobile Core Network Functions in Space
LEO satellite coverage using skyfield and geopandas/ shapely
Investigating replay attacks against direct broadcast satellite systems
北航6系数学建模-排队MM1模型事件仿真. Program homework for mathematical modeling course in BUAA.
Data collection and analysis code for "Sticky Fingers: Resilience of Satellite Fingerprinting Systems against Jamming Attacks".
This is the code repository to generate all plots for the HotNets 2024 paper "It's a bird? It's a plane? It's CDN!", authored by Rohan Bose, Saeed Fadaei, Nitinder Mohan, Mohamed Kassem, Nishanth S…
Quantum network simulation based-on discrete-event simulator using error-propagation model
"Dependency-Aware Online Caching", published at INFOCOM 2024. Authors: Julien Dallot, Amirmehdi Jafari Fesharaki, Maciej Pacut, Stefan Schmid