vivek-atlasai

vivek-atlasai's Stars

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.3k1k13314.3k

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook62.3k53011832k

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.3k4522.1k4.5k

• rapidsai/cudf

  cuDF - GPU DataFrame Library

  Language:C++8.3k1526.4k886

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.2k36143176

• microsoft/GlobalMLBuildingFootprints

  Worldwide building footprints derived from satellite imagery

  Language:Python1.4k6586202

• time-series-foundation-models/lag-llama

  Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

  Language:Python1.2k3294147

• mebauer/data-analysis-using-python

  Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.

  Language:Jupyter Notebook24510039

• developmentseed/eoAPI

  [Active Development] Earth Observation API (Metadata, Raster and Vector services)

  Language:Shell20297121

• GeoTIFF/geoblaze

  Blazing Fast JavaScript Raster Processing Engine

  Language:JavaScript1791211128

• GoogleCloudPlatform/cortex-data-foundation

  Data Foundation - Google Cloud Cortex Framework

  Language:Python161333186

• PratyushTripathy/global_flood_mapper

  This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."

  Language:JavaScript1115228

• deep-learning-indaba/indaba-pracs-2023

  Notebooks for the Practicals at the Deep Learning Indaba 2023.

  Language:Jupyter Notebook10917758

• kelsdoerksen/airPy

  Generating AI-ready datasets in python for air quality and EO-related studies using Google Earth Engine

  Language:Python81205

• momaabna/QGPTAgent

  The QGPT Agent is a powerful plugin for QGIS that utilizes the advanced natural language processing capabilities of the OpenAI GPT model to automate various processes in QGIS. With this plugin, users can interact with the QGIS software using natural language commands, significantly reducing the time and effort required to complete various tasks.

  Language:Python78697

• souvikmajumder26/Land-Cover-Semantic-Segmentation-PyTorch

  🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

  Language:Jupyter Notebook715214

• mmendiet/GFM

  Language:Python632109

• prs-eth/U-TILISE

  Language:Jupyter Notebook37214

• global-electrification-platform/gep-onsset

  Modified version of the Open Source Spatial Electrification Tool (OnSSET) to serve GEP objectives

  Language:Jupyter Notebook12709

• edwardoughton/pytal

  Python Telecommunications Assessment Library (pytal)

  Language:Python6102

• christer-io/yr-look-alike

  Reference application using Yr.no data

  Language:JavaScript1

• SebKrantz/osmclass

  Classify Open Street Map Features

  Language:R1101