elahehjafarigol Goto Github PK

a-gallery-of-interesting-jupyter-notebooks

Jupyter metapackage for installation, docs and chat

amr-benchmark

A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition

awesome-remote-sensing-foundation-models

climate-geospatial-analysis

This analysis provides a comprehensive overview of total precipitation, skin temperature, and Leaf Area Index patterns using the ERA5-Land dataset.

coding-practice

This repository includes coding exercises in Python, SQL

cs-e4740-federated-learning

Material workbench for the master-level course CS-E4740 "Federated Learning"

deepsig_datasets

DeepSig's dataset for Machine Learning of Software Defined Radio

denoising-hom-for-dmi

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.

ee5611_project

Machine Learning for Wireless communications course project on Sequential Convolutional Recurrent Neural Networks for fast automatic modulation classification.

emit-data-resources

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.

federated-leanrning-library-pfl-apple-research-

Simulation framework for accelerating research in Private Federated Learning

federated-learning-gans

A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs

federated_learning_course

Federated Learning Course Materials

genai-and-llms

This is a repository for resources and projects on GenAI and LLMs

gurobi-machinelearning

Formulate trained predictors in Gurobi models

imbalanced-learning-svm

Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application

instructlab-llm-implementation

InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.

ml-career-resources-1

Compilation of resources and insights that helped me on my journey to data scientist

ml-career-resources-2

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

ml-interview-problems

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

ml-textbooks

Books for machine learning, deep learning, math, NLP, CV, RL, etc

modulationrecognition

Machine learning model for Modulation recognition

pet-cgdnn

An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation

privacy-questions-output

Navigate the Common Sense Privacy Program Evaluation Questions

project-based-learning

Curated list of project-based tutorials

radio-modulation-recognition-networks

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.

radio-wave-classifier

GSI Internship Notebooks

radioml_examples

Useful RadioML Examples

robust-automatic-modulation-classification-in-low-signal-to-noise-ratio

TADCNN

start-llms

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!