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adaptive-computation

The implementation of Adaptive Computation function used in RNN "https://arxiv.org/pdf/1603.08983.pdf" and Universal Transformer Network "https://arxiv.org/pdf/1807.03819.pdf"

asci_cbl_practicals

The repository for the Deep Learning practicals of the ASCI Computer Vision by Learning course 2022

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

boxer

Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"

centerpoint

cvpr2017_counting

Code for Counting Everyday Objects in Everyday Scenes (CVPR 2017)

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

flowers

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

grid-feats-vqa

Grid features pre-training code for visual question answering

layer-normalization

The implementation of Layer Normalization which follows paper "https://arxiv.org/abs/1607.06450".

learnopencv

Learn OpenCV : C++ and Python Examples

linear-regression-assignment

patchnet

Code release for "Rethinking Pseudo-LiDAR Representation (ECCV2020)".

pythia

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

swin-transformer

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