zejiangh Goto Github PK

adaptsum

The code repository for NAACL 2021 paper "AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization".

amc-compressed-models

[ECCV 2018] Compressed models from AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

convnext

Code release for ConvNeXt model

deeplearningexamples

Deep Learning Examples

di-iterative-pruning

PyTorch implementation of the paper "Augment deep BP-parameter learning with local XAI-structural learning". Paper is available at https://www.intlpress.com/site/pub/files/_fulltext/journals/cis/2020/0020/0003/CIS-2020-0020-0003-a003.pdf

esvit

EsViT: Efficient self-supervised Vision Transformers

filter-gap

The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://openaccess.thecvf.com/content/CVPR2022/papers/Hou_CHEX_CHannel_EXploration_for_CNN_Model_Compression_CVPR_2022_paper.pdf

hartnet-for-image-restoration

PyTorch code for paper "Hierarchically Aggregated Residual Transformation for Image Restoration"

kdi-feature-selection

The repository contains codes for KDI feature selection method.

lsid

PyTorch implementation of Learning to See in the Dark

meta-learning-the-difference

PyTorch implementation of the paper "Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation" (TACL).

milan

PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.06049.pdf.

multi-dimensional-vit-compression

PyTorch implementation of the paper "Multi-Dimensional Model Compression of Vision Transformer".

ostrim-np-iterative-deep-compression

paml

Personalizing Dialogue Agents via Meta-Learning

pedconv

The official PyTorch implementation of "Parameter Efficient Dynamic Convolution via Tensor Decomposition" (BMVC 2021). Paper is available at https://www.bmvc2021-virtualconference.com/assets/papers/1631.pdf

semi-fsl

PyTorch implementation of the paper "Semi-Supervised Few-Shot Learning via Dependency Maximization and Instance Discriminant Analysis", available at https://link.springer.com/content/pdf/10.1007/s11265-022-01796-x.pdf

sparse_text_generation

tensorflow

An Open Source Machine Learning Framework for Everyone