A flexible framework for hierarchical clustering of text, numeric, or image data using LLMs.

ReBound is an open-source, LiDAR visualization and annotation tool to assist active-learning systems involved in autonomous vehicles

LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking

Awesome semi-automatic labeling tool for general LiDAR point clouds!

PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning

Image composition toolbox: everything you want to know about image composition or object insertion

Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints

Easy and secure implementation of Azure Entra ID (previously AD) for your FastAPI APIs 🔒 B2C, single- and multi-tenant support.

Automatically create Faiss knn indices with the most optimal similarity search parameters.

Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets

Interactively explore unstructured datasets from your dataframe.

A Visualization Tool for Image-based Machine Learning Projects - Great for object-detection and image classification projects

Data-centric AI building blocks for computer vision applications

Easily get basic insights about your ML dataset

[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

Avatar Generation For Characters and Game Assets Using Deep Fakes

This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024

Utility scripts for COCO json annotation format

Open-Source Framework for High-Throughput Microstructure Simulations

Display dependency tree of Python distribution

Light weight toolkit for bounding boxes providing conversion between bounding box types and simple computations.

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Represent, send, store and search multimodal data

Tools for creating and manipulating computer vision datasets

First-Prize winner in the Core Track of the 2022 OpenCV AI Competition

PyTorch code for CVPR 2022 paper Unbiased Teacher v2 Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!