Starred repositories
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.
Active fire detection and segmentation with CNN
An open source library and framework for deep learning on satellite and aerial imagery.
Techniques for deep learning with satellite & aerial imagery
Few-shot Learning / Meta-Learning on Remote Sensing Papers
CosmiQ / yoltv4
Forked from avanetten/yoltv4Large scale object detection in aerial/satellite imagery
Bayesian active learning library for research and industrial usecases.
Active Deep Learning for Medical Imaging Segmentation
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
An implementation of the BADGE batch active learning algorithm.
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
Adversarial Representation Active Learning
Variational Adversarial Active Learning (ICCV 2019)
Reusable BatchBALD implementation
an awesome list of decentralized services and technologies
A collection of interesting new networks and tech aiming at decentralisation (in some form).
Production infrastructure for machine learning at scale
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
AtsPy: Automated Time Series Models in Python (by @firmai)
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Ready-to-run Docker images containing Jupyter applications
Open Aircraft Performance Model and Python Toolkit