e-stack

@e-stack

e-stack 暂无简介

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    Meta Research Mirrors/Kats

    Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

    Meta Research Mirrors/pytorchvideo

    A deep learning library for video understanding research.

    Meta Research Mirrors/neural_stpp

    Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

    Meta Research Mirrors/fine_grained_hateful_memes

    Fine grained annotations extending hateful memes dataset with additional labels for identifying protected categories and attack types.

    Meta Research Mirrors/MathsFromExamples

    Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François Charton, Amaury Hayat (ENPC-Rutgers) and Guillaume Lample

    Meta Research Mirrors/shaDow_GNN

    NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures

    Meta Research Mirrors/UNOC

    TBD

    Meta Research Mirrors/WyPR

    Code release for CVPR 2021 paper "3D Spatial Recognition without Spatially Labeled 3D"

    Meta Research Mirrors/fbpcp

    FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation) applications in a distributed way on virtual private clouds. FBPCF (Facebook Private Computation Framework) is for scaling MPC computation up via threading, while FBPCP is for scaling MPC computation out via Private Scaling architecture.

    Meta Research Mirrors/connect-caption-and-trace

    A unified framework to jointly model images, text, and human attention traces.

    Meta Research Mirrors/fbcdgraph

    The codes reproduce the figures and statistics in the paper, "Cumulative deviation of a subpopulation from the full population," by Mark Tygert. The repo also provides the LaTeX and BibTex sources required for replicating the paper.

    Meta Research Mirrors/simsiam

    PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

    Meta Research Mirrors/AutoCTR

    code for https//research.fb.com/publications/towards-automated-neural-interaction-discovery-for-click-through-rate-prediction/

    Meta Research Mirrors/LeViT

    LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

    Meta Research Mirrors/convit

    Code for the Convolutional Vision Transformer (ConViT)

    Meta Research Mirrors/ContactOpt

    Physical contact plays a critical role in hand and object grasping. By estimating desirable contact then optimizing the hand pose to achieve it, ContactOpt improves the accuracy and realism of estimated hand and object poses.

    Meta Research Mirrors/dora

    Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of experiments without losing your sanity.

    Meta Research Mirrors/TimeSformer

    The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

    Meta Research Mirrors/fbai-speech

    Repo for the FB AI Speech team.

    Meta Research Mirrors/acs

    Meta’s Anonymous Credential Service (ACS) is designed to enable it to authenticate users in a “de-identified manner,” permitting access to services without gathering any data that could be used to identify the subject’s identity.

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