(KDD 2026) PEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakers

official code of partial connection adpation

Official Implementation of Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling (ICLR'25-Spotlight)

Tensorflow implementation of Swin Transformer model.

[SenSys'24] PieBridge: Fast and Parameter-Efficient On-Device Training via Proxy Networks

Scalable data pre processing and curation toolkit for LLMs

Ultralytics YOLO 🚀

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

A subjective learning guide for generative AI research

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

This is the official implementation of the paper "Instance-conditional Knowledge Distillation for Object Detection", based on MegEngine and Pytorch.

On-Device Training Under 256KB Memory [NeurIPS'22]

Code for paper "ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection" (MobiSys'23)

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"

Solution of LPCVC2023 by AidgetRock.

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

Light-Weight RefineNet for Real-Time Semantic Segmentation

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

CNU SW/AI Project Fair 메인페이지

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Semantic Segmentation for Recycling Trash