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omnivore

Omnivore: A Single Model for Many Visual Modalities

one_shot_3d_photography

This repository contains the code release for the SIGGRAPH 2020 paper "One Shot 3D Photography"

online_dialog_eval

Code for the paper "Learning an Unreferenced Metric for Online Dialogue Evaluation", ACL 2020

onlineattacks

Study of a hypothetical attack scenario where an attacker corrupts images that are fed into an AI system, and has only a few chances before risking being detected.

opacus-lab

Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

opendialkg

OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs

opensfeds

OpenSFEDS, a near-eye gaze estimation dataset containing approximately 2M synthetic camera-photosensor image pairs sampled at 500 Hz under varied appearance and camera position.

optimizer-plugins

A demonstration of source code transformation to implement automatic differentiation, compatible with an operation overload style AD library DiffKt.

optimizers

For optimization algorithm research and development.

orienternet

Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"

otter

This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

ov-seg

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

This repo contains documentation and code needed to use PACO dataset: data loaders and training and evaluation scripts for objects, parts, and attributes prediction models, query evaluation scripts, and visualization notebooks.

pal

Active self-supervised learning with pairwise comparison

paq

Code and data to support the paper "PAQ 65 Million Probably-Asked Questions andWhat You Can Do With Them"

param

PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for evaluation of training and inference platforms.

paraspax

This repository contains code for the generation of binaural Room Impulse Responses using the Paraspax method and implementing a 6 DoF environment using optical tracking.

parcus

Soft Pattern Matching for Interpretable Low-Resource Classification

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

partdistillation

Code release for the CVPR'23 paper titled "PartDistillation Learning part from Instance Segmentation"

patternedclothing

Dataset of dynamic clothing from pattern registration

perfect

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models

permutation-equivariant-seq2seq

Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for natural language modeling fail when such compositional generalization is required. The main contribution of this paper is to hypothesize that language compositionality is a form of group-equivariance. Based on this hypothesis, we propose a set of tools for constructing equivariant sequence-to-sequence models. Throughout a variety of experiments on the SCAN tasks, we analyze the behavior of existing models under the lens of equivariance, and demonstrate that our equivariant architecture is able to achieve the type compositional generalization required in human language understanding.

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