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Wuhan University
- Wuhan,Hubei,China
- liyemei.org
Stars
Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.
Add bisenetv2. My implementation of BiSeNet
Extensible, parallel implementations of t-SNE
Measures and metrics for image2image tasks. PyTorch.
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
OpenMMLab Foundational Library for Training Deep Learning Models
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language
Photographic Image Synthesis with Cascaded Refinement Networks
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
A lightweight adapter bridges SAM with medical imaging [MedIA]
Zero-shot Image-to-Image Translation [SIGGRAPH 2023]
Official implementation of Cold-Diffusion for different transformations in pytorch.
Code for our CVPR2021 paper coordinate attention
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
An awesome OCR engine developed by SYSU DeepDriving Lab
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
基于Vue3+Element Plus+FastAPI开发的一个通用中后台管理框架(若依的FastAPI版本),支持代码生成。A general middle and backend management framework developed with Vue3 + Element Plus + FastAPI (FastAPI Edition of RuoYi), supporting …
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐
💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
基于PaddlePaddle实现端到端中文语音识别,从入门到实战,超简单的入门案例,超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型