ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Updated
May 25, 2024 - C++
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Train Neuronal networks to automate your home
A lightweight parameter server interface
N-API nodejs add-on to use with MXNET C predict API
BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
Naive implementation of the generative adversarial network (GAN) training written in c++ using mxnet cpp API
Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.
nGraph has moved to OpenVINO
(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Fast parallel RNN-Transducer.
CrazyAra - A Deep Learning UCI-Chess Variant Engine written in C++ 🐦
[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet
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