Popular GitHub Repositories for Operational Transformation

Image augmentation for machine learning experiments.

Data manipulation and transformation for audio signal processing, powered by PyTorch

53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow.

A Tensorflow implementation of Spatial Transformer Networks.

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

A Scala feature transformation library for data science and machine learning

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Operational - open-source tool to track important events and receive push notifications on your device.

Type-safe transformation powered by inference.

Custom GPT Showcase, featuring advanced workflows and operational logic.

Anomaly detection library based on singular spectrum transformation(sst)

Automated face warping tool.

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Voice Transformation for Videos. ???

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

[ICCV 2019] Guided Image-to-Image Translation with Bi-Directional Feature Transformation

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.