Cross-platform, customizable ML solutions for live and streaming media.
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- c-plus-plus
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Cross-platform, customizable ML solutions for live and streaming media.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
ncnn is a high-performance neural network inference framework optimized for the mobile platform
AI that sees your screen, listens to your conversations and tells you what to do
Implementation of popular deep learning networks with TensorRT network definition API
TranslatedPaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge
2bit quants, kernels and runtime for consumer devices.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
On-device AI across mobile, embedded and edge for PyTorch
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
OpenMMLab Pre-training Toolbox and Benchmark
Tensorflow Faster RCNN for Object Detection
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!
Lightweight AI-friendly Docker Swarm management
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, HarmonyOS, WebAssembly, watchOS, tvOS, visionOS
Sandbox for training deep learning networks
DeepLab v3+ model in PyTorch. Support different backbones.
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.