Code for paper: Weight-Inherited Distillation for Task-Agnostic BERT Compression
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Updated
Mar 18, 2024 - Python
Code for paper: Weight-Inherited Distillation for Task-Agnostic BERT Compression
[BMVC 2022] Wide Feature Projection with Fast and Memory-Economic Attention for Efficient Image Super-Resolution
Official code for Differentiable Rendering with Reparameterized Volume Sampling (AISTATS 2024)
This repository contains scripts to reparamterize the YOLOv7 model and it's variants. This can help in deployment and further usage.
An unofficial implementation of sigma reparam [Zhai et al. 2023]
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution (TMM 2023)
Differentiable reparameterization of matrices with orthogonal columns.
Python library for the differentiable hypergeometric distribution
T-Basis: a Compact Representation for Neural Networks
Spectral Tensor Train Parameterization of Deep Learning Layers
Stochastic Automatic Differentiation library for PyTorch.
[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
针对pytorch模型的自动化模型结构分析和修改工具集,包含自动分析模型结构的模型压缩算法库
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