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mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

mnasnet-pytorch

MNASNet implementation and pre-trained model in PyTorch

models

Models and examples built with TensorFlow

modelsummary

All Model summary in PyTorch similar to `model.summary()` in Keras

moil

natural-language-object-retrieval

Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016

onestage_grounding

A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)

oneteacher

openvqa

A lightweight, scalable, and general framework for visual question answering research

paper

pretrained

prime

Code and pretrained models for MUSE (Parallel Multi-scale Attention for Sequence to Sequence Learning). Model name is Changed to Prime.

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

radam

On the Variance of the Adaptive Learning Rate and Beyond

ranger-deep-learning-optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

real-time-global-inference-network

Code for paper "A Real-time Global Inference Network for One-stage Referring Expression Comprehension."

realgin-keras

refer

Referring Expression Datasets API

repadapter

Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".

sasa-pytorch

Unofficial implementation of Stand-Alone Self-Attention in Vision Models (WIP)

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

seqtr

SeqTR: A Simple yet Universal Network for Visual Grounding

simrec

A lightweight codebase for referring expression comprehension and segmentation

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

tdx

通达信选股器

tencentpretrain

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

text_classification

all kinds of text classification models and more with deep learning

textclassification-keras

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

trar-vqa

This is the official pytorch implementation for our ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering" on VQA Task

vc-r-cnn

The official pytorch implementation of CVPR 2020 ``Visual Commonsense R-CNN''