facebookresearch,Meta Research,github

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.

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.

phosa

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

phyre

PHYRE is a benchmark for physical reasoning.

phyre-fwd

Code accompanying paper, Forward Prediction for Physical Reasoning

pifuhd

High-Resolution 3D Human Digitization from A Single Image.

pix2vec

Deep image generation is becoming a tool to enhance artists and designers creativity potential. In this paper, we aim at making the generation process more structured and easier to interact with. Inspired by vector graphics systems, we propose a new deep image reconstruction paradigm where the outputs are composed from simple layers, defined by their color and a vector transparency mask.

playtorch

PlayTorch is a framework for rapidly creating mobile AI experiences.

plush_dataset

This is the "plush" dataset associated with the CVPR 2022 paper "Virtual Elastic Objects".

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

poincaremaps

The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation issue we propose Poincaré maps, a method harnessing the power of hyperbolic geometry into the realm of single-cell data analysis.

pointcontrast

Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>

polymetis

Write PyTorch controllers, test them in simulation, and seamlessly transfer to real-time hardware.

posewarper

Learning Temporal Pose Estimation from Sparsely Labeled Videos

pplbench

Evaluation Framework for Probabilistic Programming Languages

ppo-dice

We propose a new way to make policy optimization more stable.

ppuda

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

preference-exploration

Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, published in AISTATS 2022.

pressurevision

[ECCV 2022] PressureVision: Estimating Hand Pressure from a Single RGB Image

privacy_lint

Lint for privacy

private-id

A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens

private_prediction

The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models are trained that are guaranteed to not leak information about the training data they are trained on.

productive_concept_learning

Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task that requires reasoning about uncertainty and learning compositionally rich and challenging concepts in a low-shot, meta-learning framework.

project_farsi

We will be open sourcing a tool called FARSI (Facebook AR system investigator), a design space exploration framework. FARSI enables an agile and automated search of optimal hardware allocation and software-to-hardware mapping solutions.

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