e-stack

@e-stack

e-stack 暂无简介

所有 个人的 我参与的
Forks 暂停/关闭的

    Meta Research Mirrors/SIMAT

    codebase for the SIMAT dataset and evaluation

    Meta Research Mirrors/vrs

    VRS is a file format optimized to record & playback streams of sensor data, such as images, audio samples, and any other discrete sensors (IMU, temperature, etc), stored in per-device streams of timestamped records.

    Meta Research Mirrors/APIsynth

    Synthesizing Python code from PyTorch tensor input output examples.

    Meta Research Mirrors/em-pose

    EM-POSE 3D Human Pose Estimation from Sparse Electromagnetic Trackers. This repository contains the code to our paper published at ICCV 2021: https//ait.ethz.ch/projects/2021/em-pose

    Meta Research Mirrors/hsd3

    Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines

    Meta Research Mirrors/speech-resynthesis

    An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

    Meta Research Mirrors/ssl-relation-prediction

    Simple yet SoTA Knowledge Graph Embeddings.

    Meta Research Mirrors/recipes

    Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.

    Meta Research Mirrors/xformers

    Hackable and optimized Transformers building blocks, supporting a composable construction.

    Meta Research Mirrors/dadc-limit

    DADC in the Limit

    Meta Research Mirrors/recur

    symbolic regression

    Meta Research Mirrors/neuromorph

    Implementation of the NeuroMorph method from CVPR 2021.

    Meta Research Mirrors/Active-3D-Vision-and-Touch

    A repository for the paper Active 3D Shape Reconstruction from Vision and Touch and robotic touch simulator package.

    Meta Research Mirrors/grounding-inductive-biases

    reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"

    Meta Research Mirrors/dpr-scale

    Scalable training for dense retrieval models.

    Meta Research Mirrors/ppuda

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

    Meta Research Mirrors/off-belief-learning

    Implementation of the Off Belief Learning algorithm.

    Meta Research Mirrors/BalancingGroups

    Simple data balancing baselines for worst-group-accuracy benchmarks.

    Meta Research Mirrors/MetaICL

    An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

    Meta Research Mirrors/FLSim

    Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

搜索帮助