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Pytorch EfficientNetV2 EfficientNetV1 with pretrained weights
3D CAD viewer and converter based on Qt + OpenCascade
A curated list of awesome header-only C++ libraries
lecui user interface library, for rapid gui application development in C++ on Windows
The libtorch C++ implementation of the object detection model Efficientdet
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
2D Vector Graphics Engine Powered by a JIT Compiler
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, HarmonyOS, WebAssembly, watchOS, tvOS, visionOS
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation
SegmentationDataset class for torchvision. Applies data augmentation to both images and segmentations.
Repository for the Explainable Deep One-Class Classification paper
This is a brief PyTorch implementation of EfficientNetV2, providing with experiments on ImageNet and CIFAR-10/100.
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
A PyTorch implementation of the Deep SVDD anomaly detection method
A PyTorch implementation of the Deep SVDD anomaly detection method