pycalphad experiments and debugging notebooks

MaterialsMap is Python package for mapping properties, manufacturing feasibility, and desirability. We focus on guiding materials design graphically while proving API to underlying methods.

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/compositing or object/subject insertion/addition/compositing.

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