saksman

Yolov7-training

A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.

domain_adaptation

visda2022-org

[NeurIPS 2022] VisDA 2022 Challenge Toolkit

accda

Active and Continuous Continual Domain Adaptation

a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

ATen

ATen: A TENsor library for C++11

CGNet

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

MADA

Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)

ClimateNet

Climate Analytics using Deep Neural Networks in Python.

EADA

[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

An-unexpectedly-large-count-of-trees-in-the-western-Sahara-and-Sahel

This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".

DeepFish

JCU DeepFish dataset

CoastSat

Global shoreline mapping tool from satellite imagery

CLUE

PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)

techniques

Techniques for deep learning with satellite & aerial imagery

EuroSAT

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

scale-aware_da

LLDA

Scikit-learn like Labeled-LDA

datasci-urban-forest

Friends of the Urban Forest

data-science-wg

SF Brigade's Data Science Working Group.

vanguard-api

A non-Vanguard specific API

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

seaborn

Statistical data visualization in Python

testthat

An R 📦 to make testing 😀

tensorflow

An Open Source Machine Learning Framework for Everyone