[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
-
Updated
Jul 20, 2024 - Python
[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
Stochastic Automatic Differentiation library for PyTorch.
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution (TMM 2023)
Official code for Differentiable Rendering with Reparameterized Volume Sampling (AISTATS 2024)
Code for paper: Weight-Inherited Distillation for Task-Agnostic BERT Compression
Python library for the differentiable hypergeometric distribution
An unofficial implementation of sigma reparam [Zhai et al. 2023]
Differentiable reparameterization of matrices with orthogonal columns.
[BMVC 2022] Wide Feature Projection with Fast and Memory-Economic Attention for Efficient Image Super-Resolution
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
This repository contains scripts to reparamterize the YOLOv7 model and it's variants. This can help in deployment and further usage.
T-Basis: a Compact Representation for Neural Networks
Spectral Tensor Train Parameterization of Deep Learning Layers
Add a description, image, and links to the reparameterization topic page so that developers can more easily learn about it.
To associate your repository with the reparameterization topic, visit your repo's landing page and select "manage topics."