elahehjafarigol Goto Github PK
Name: Elaheh Jafarigol
Type: User
Bio: PhD in Data Science and Analytics @ University of Oklahoma
Name: Elaheh Jafarigol
Type: User
Bio: PhD in Data Science and Analytics @ University of Oklahoma
Jupyter metapackage for installation, docs and chat
A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition
This analysis provides a comprehensive overview of total precipitation, skin temperature, and Leaf Area Index patterns using the ERA5-Land dataset.
This repository includes coding exercises in Python, SQL
Material workbench for the master-level course CS-E4740 "Federated Learning"
DeepSig's dataset for Machine Learning of Software Defined Radio
This is the Matlab code for the paper "Denoising Higher-Order Moments for Blind Digital Modulation Identification in Multiple-Antenna Systems" published in the IEEE Wireless Communications Letters.
Machine Learning for Wireless communications course project on Sequential Convolutional Recurrent Neural Networks for fast automatic modulation classification.
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
Simulation framework for accelerating research in Private Federated Learning
A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs
Federated Learning Course Materials
This is a repository for resources and projects on GenAI and LLMs
Formulate trained predictors in Gurobi models
Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application
InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.
Compilation of resources and insights that helped me on my journey to data scientist
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
Books for machine learning, deep learning, math, NLP, CV, RL, etc
Machine learning model for Modulation recognition
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Navigate the Common Sense Privacy Program Evaluation Questions
Curated list of project-based tutorials
Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.
GSI Internship Notebooks
Useful RadioML Examples
TADCNN
A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.