There are 6 repositories under megengine topic.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
The official MegEngine implementation of the ECCV 2022 paper: Ghost-free High Dynamic Range Imaging with Context-aware Transformer
RAW-based blind denoising, 1st place in MegCup 2022 (Team Feedback)
Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".
MegEngine Official Documentation
A codebase & model zoo for pretrained backbone based on MegEngine.
Official implementation of the FST-Matching Model.
RAW-based blind denoising, 3rd place in MegCup 2022 (Team Feedforward)
Official MegEngine Implementation of Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Light parameters raw image denoising, 2nd place in MegCup 2022
An object detection codebase based on MegEngine.
An end to end ASR Transformer model training repo
MegEngine implementation of Diffusion Models.
Swin-Transformer implementation in MegEngine. This is a showcase for training on GPU with less memory by leveraging MegEngine DTR technique.
旷视AI智慧交通开源赛道 **非官方**第二名解决方案(初赛/决赛第二名, 0.61447/0.58183)
basecore is a simple repo that provides deep learning frame for MegEngine.
MegBox is an easy-to-use, well-rounded and safe toolbox of MegEngine. Aim to imporving usage experience and speeding up develop process.