Tommy Azzino's repositories
qd-channel
ns-3 integration of the quasi deterministic ray tracer https://github.com/signetlabdei/qd-realization
deep-reinforcement-learning-gym
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
deepstream_python_apps
DeepStream SDK Python bindings and sample applications
digitalcomm
Teaching material for Digital Communications
introml
Python tutorials for introduction to machine learning
minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
ml-project-fall2020
This a repository for the ML class project, Fall 2020 NYU Tandon
wirelesscomm
Teaching material for wireless communications
ns3-802.11ad
This is a repository for the development of IEEE 802.11ad model in ns-3 simulator. For additional information about the model and how to build the project, please check the Readme file or the Wiki Page on https://github.com/hanyassasa87/ns3-802.11ad/wiki
ns3-ai
Enable the interaction between ns-3 and popular frameworks using Python, which mean you can train and test your AI algorithms in ns-3 without changing any frameworks you are using now!
ns3-gym
ns3-gym - The Playground for Reinforcement Learning in Networking Research
petridish
Jekyll theme for research project websites š§«
pTSAfall2021
Probabilistic time series
sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
sem
A framework to manage ns-3 simulation campaigns: let SEM perform multiple parallelized executions of your ns-3 scenario, permanently save the results and output them in plotting-friendly data structures. All from the comfort of the command line or in a few, clean lines of Python code.
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
uav-localization
uav localization project
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors