Stars
Entrypoint for orchestrating full TrySpace simulation environments
tracking papers, datasets, and models of "large language model (LLM) for time series"
A simple script to automatically download, process, and generate a single file from multiple years worth of NASA OMNI data
A curated list of datasets, tools and papers for machine learning in heliophysics.
π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
Synthesizing and manipulating 2048x1024 images with conditional GANs
A synthetic image augmentation library for object detection tasks.
The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.
Code to produce the results presented in "Interpretable Machine Learning to Forecast SEP Events for Solar Cycle 23"
PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning
Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Python implementation of autoencoder based radio system
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
This repo contains all the source code and dataset used in the paper Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
π "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
The 3rd edition of course.fast.ai
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"