sanjana1191

sanjana1191's Stars

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.6k278231.5k

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook8.1k1061.5k816

• domlysz/BlenderGIS

  Blender addons to make the bridge between Blender and geographic data

  Language:Python7.7k2677361.4k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.9k725061.1k

• gd3kr/BlenderGPT

  Use commands in English to control Blender with OpenAI's GPT-4

  Language:Python4.4k7256323

• nilmtk/nilmtk

  Non-Intrusive Load Monitoring Toolkit (nilmtk)

  Language:Python83366868461

• satellite-image-deep-learning/datasets

  Datasets for deep learning with satellite & aerial imagery

  66414277

• microsoft/BatteryML

  Language:Jupyter Notebook5011833107

• VikParuchuri/textbook_quality

  Generate textbook-quality synthetic LLM pretraining data

  Language:Python4878650

• aditya-grover/climate-learn

  Source code for ClimateLearn

  Language:Jupyter Notebook30863949

• drivendataorg/open-cities-ai-challenge

  Winners of the Open Cities AI Challenge competition

  Language:Jupyter Notebook1197425

• gicait/DL-for-satellite-image-analysis

  This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

  Language:Jupyter Notebook913132

• duncanwp/ClimateBench

  Language:Jupyter Notebook874623

• OpenEnergyPlatform/open-MaStR

  A collaborative software to download the energy database Marktstammdatenregister (MaStR)

  Language:Python87833919

• drivendataorg/power-laws-forecasting

  Winners of the Power Laws forecasting competition

  Language:HTML6013024

• drivendataorg/the-biomassters

  This a repository with the winners' code from the BioMassters challenge

  Language:Jupyter Notebook36507

• drivendataorg/tick-tick-bloom

  Winners of the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge

  Language:Jupyter Notebook26504

• fathomnet/models

  A collection of machine learning models trained on FathomNet

  26522

• fathomnet/fathomnet-py

  FathomNet Python client

  Language:Python254243

• sfsun67/GraphCast-from-Ground-Zero

  Run GraphCast in one click. The code will automatically install and run the model environment, automatically inferencing and demonstrating how to train the model.(DOI: 10.1126/science.adi2336; https://github.com/google-deepmind/graphcast) . Which with AutoDL (Or else your own environments). 一键运行 GraphCast，代码将自动执行模型的环境安装和运行，自动推理并演示如何训练模型。用你自己的环境运行。

  Language:Jupyter Notebook22173

• drivendataorg/hakuna-madata

  Language:Jupyter Notebook21903

• drivendataorg/snowcast-showdown

  Language:Jupyter Notebook14804

• czaloumi/fire-risk-analysis

  Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.

  Language:Jupyter Notebook11206

• fathomnet/fgvc-comp-2023

  FathomNet's out-of-sample detection challenge in association with FGVC 2023

  Language:Jupyter Notebook8431

• drivendataorg/wheres-whale-do

  Winners of the Where's Whale-do? Competition

  Language:Jupyter Notebook7702

• heinsense2/AIO_CaseStudy

  Language:Jupyter Notebook7201

• czaloumi/ironman-2019

  An exploration of the 2019 Kona Ironman Championship race results using hypothesis testing in python.

  Language:Jupyter Notebook3101

• czaloumi/forecasting-time-series

  Forecasting Wallmart Inventory for CA, TX, and WI in Python

  Language:Jupyter Notebook1100

• jeffzma2000/Evaluating-LMs-on-Formal-Mathematics

  Language:Jupyter Notebook10

• jsonkao/redlining-heat

  Redlining's legacy in urban heat

  Language:JavaScript1100