RitwikGupta
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Code and artifacts for the "Open-Source Assessments of AI Capabilities" BRSL report.
An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors
Make your models invariant to changes in scale.
A browser extension that adds additional features to college scheduling.
Website for Trevor Darrell's group at Berkeley
A PyTorch-based tool to generate clouds for satellite images.
Download and access remote sensing data from any platform
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Next-level academia! Repository for the Native Overleaf project, attempting to integrate Overleaf with native OS features for macOS, Linux and Windows.
Techniques for deep learning with satellite & aerial imagery
Worldwide building footprints derived from satellite imagery
Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Python utilities for reasearch and innovation team
Website for Berkeley Climate Change AI
Juneberry improves the experience of machine learning experimentation by providing a framework for automating the training, evaluation and comparison of multiple models against multiple datasets, r…
Sentinel-1 vessel detection model used in the xView3 challenge
Latex code for making neural networks diagrams
Examples of how to create colorful, annotated equations in Latex using Tikz.
Notebooks accessing UC3 datasets
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Marine debris detection with commercial satellite imagery and deep learning.
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution