Few-shot satellite image classification for bringing deep learning on board OPS-SAT
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Updated
Jul 2, 2024 - Python
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
Deep Siamese convolutional neural net for biometric authentication of palm print images
Predicting mutation effects based on deep mutational scanning data
A project focused on constructing autonomous UAV navigation datasets for natural environments, leveraging generative AI to enhance and generate training data from images of Taiwan's roads and rivers.
Python library for data augmentation in object detection or image classification model training
Medical imaging toolkit for deep learning
The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.
An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
KopikatAPI is Python library for interacting with the Kopikat API.
SEGAUGMENT: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)
Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
Python package to corrupt arbitrary images.
GeneratorPromptKit: A Python Library and Framework for Automated Generator Prompting and Dataset Generation
A generalizable application framework for segmentation, regression, and classification using PyTorch
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
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