[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

A Python library for common tasks on 3D point clouds

Sandbox for training deep learning networks

Self-Supervised Learning for Domain Adaptation on Point-Clouds

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

Inferring and Executing Programs for Visual Reasoning

Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

Fit interpretable models. Explain blackbox machine learning.

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Responsible AI knowledge base

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Pretrained BERT model for analysing COVID-19 Twitter data