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
Stochastic Automatic Differentiation library for PyTorch.
[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
[TMC 2025/NOSSDAV 2023] Official code for RepCaM++ and RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution (TMM 2023)
Spectral Tensor Train Parameterization of Deep Learning Layers
Official code for Differentiable Rendering with Reparameterized Volume Sampling (AISTATS 2024)
T-Basis: a Compact Representation for Neural Networks
Python library for the differentiable hypergeometric distribution
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
Differentiable reparameterization of matrices with orthogonal columns.
This repository contains scripts to reparamterize the YOLOv7 model and it's variants. This can help in deployment and further usage.
VisionicAI: Ultra-lightweight object detection model optimized for NPU. 1인 주도로 아키텍처 설계 및 학습 파이프라인 전 과정 개발.
An unofficial implementation of sigma reparam [Zhai et al. 2023]
Project page for PHFD-Net, a locally re-parameterized hierarchical spatial-frequency network for single image dehazing (under review at IEEE TCSVT).
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