Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Visualizer for neural network, deep learning, and machine learning models
Caffe2 implementation of Open Neural Network Exchange (ONNX)
nGraph has moved to OpenVINO
Gen Efficientnet Pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Setup and customize deep learning environment in seconds.
Python library to easily log experiments and parallelize hyperparameter search for neural networks
PyTorch implementation of the YOLO (You Only Look Once) v2
🔀 Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
Deep Learning In Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
☕️ Caffe2Kit. A simple one step integration of Caffe2 for iOS.
Bridging caffe2 with yolo, esp on mobile devices
CNN model inference benchmarks for some popular deep learning frameworks
Recompile the library with caffe2 in pytorch stable(1.0) and re-implement the AICamera example provided by caffe2 officially.
A Caffe2 implementation of the YOLO v3 object detection algorithm
A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737
[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
Show how to use Caffe2 in C++ through a simple LeNet sample project
Convert image folder to lmdb, adapted from Efficient-PyTorch
The repo is obsolete. Use at your own risk.