There are 10 repositories under caffe2 topic.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
nGraph has moved to OpenVINO
Samples and Tools for Windows ML.
Python library to easily log experiments and parallelize hyperparameter search for neural networks
:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
PyTorch implementation of the YOLO (You Only Look Once) v2
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Caffe2 implementation of Open Neural Network Exchange (ONNX)
Deep Learning Benchmarking Suite
[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.
Pytorch implementation of the DeepDream computer vision algorithm
PyTorch implementation of the OpenPose
☕️ Caffe2Kit. A simple one step integration of Caffe2 for iOS.
Convert image folder to lmdb, adapted from Efficient-PyTorch
Show how to use Caffe2 in C++ through a simple LeNet sample project
CNN model inference benchmarks for some popular deep learning frameworks
Domain Adaptive Faster R-CNN in Detectron
Caffe2 C++/Python tutorial with full demo
React native package to use caffe2 models. Use deep learning on hybrid mobile application within 2 min
Recompile the library with caffe2 in pytorch stable(1.0) and re-implement the AICamera example provided by caffe2 officially.
Tensorboard for Caffe2
A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737
A Caffe2 implementation of the YOLO v3 object detection algorithm
Implementation of YoloV3 and Caffe in OpenCvSharp
A playground for continual, interactive neuroevolution
Software to visualize detectron training stats
Covert original YOLO model from Pytorch to Onnx, and do inference using backend Caffe2 or Tensorflow.
Integrating Caffe2, OpenCV with Android Native Camera API
Bridging caffe2 with yolo, esp on mobile devices
PiNN2 is a easy-to-use framework for device compact modeling using physics-inspired neural networks
Caffee2 - A curated list of dedicated resources http://caffe2.ai
End-to-end multitask CNN architecture for object instance segmentation, human pose detection and multi-person tracking based on Facebook AI's Detectron system