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language

Shared repository for open-sourced projects from the Google AI Language team.

lightweight-gan

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

lilt

Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)

luke

LUKE -- Language Understanding with Knowledge-based Embeddings

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

nielsrogge

Short README about myself.

nielsrogge.github.io

Build a Jekyll blog in minutes, without touching the command line.

notebooks

Notebooks using the Hugging Face libraries 🤗

nystromformer

pix2seq

Pix2Seq - A general framework for turning RGB pixels into semantically meaningful sequences

pytorch-biggraph

Generate embeddings from large-scale graph-structured data.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

qdgat

Question-Directed Graph Attention Network for Numerical Reasoning over Text

rasa-chatbot

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

segformer

Official implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"

swin2sr

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration at the Advances in Image Manipulation (AIM) workshop ECCV 2022, Tel Aviv

tab-transformer-pytorch

Implementation of TabTransformer, attention network for tabular data, in Pytorch

table-pretraining

TAPEX: Table Pre-training via Learning a Neural SQL Executor

table-transformer

Model training and evaluation code for our dataset PubTables-1M, developed to support the task of table extraction from unstructured documents.

tapas

End-to-end neural table-text understanding models.

tapas_utils

A package containing utils for the PyTorch version of the Tapas algorithm.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.