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srnn

Shifting Recurrent Neural Network

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

targeted_dropout_pytorch

ConvNet training using pytorch

tern

Code and Resources for the Transformer Encoder Reasoning Network (TERN) - https://arxiv.org/abs/2004.09144

text

Data loaders and abstractions for text and NLP

torch_quant

This is the Implementation of the uniform/non-uniform quantization of deep learning model.

train-resnet-on-cifar100

Train a very deep Residual neural network on a GPU with PyTorch for the CIFAR100 dataset.

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

transformer-mm-explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

transformer-pytorch

A PyTorch implementation of Attention is all you need

tvqaplus

[ACL 2020] PyTorch code for TVQA+: Spatio-Temporal Grounding for Video Question Answering

unsupervised-classification

SCAN: Learning to Classify Images without Labels (ECCV 2020)

vgg_feature_extractor

VGG19 feature extractor using PyTorch framework

video-splitter

Simple Python script to split video into equal length chunks or chunks of equal size, duration, etc.

videomatch

vision

Datasets, Transforms and Models specific to Computer Vision

vsrn

PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"

winsdk-10

xai_transformers

Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation