#计算机科学#Setup and customize deep learning environment in seconds.
#计算机科学#In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
#Awesome#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
#计算机科学#nGraph has moved to OpenVINO
#计算机科学#Samples and Tools for Windows ML.
#安卓#🔀 Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
#计算机科学#Python library to easily log experiments and parallelize hyperparameter search for neural networks
#计算机科学#PyTorch implementation of the YOLO (You Only Look Once) v2
#IOS#Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
#计算机科学#Caffe2 implementation of Open Neural Network Exchange (ONNX)
#计算机科学#Deep Learning Benchmarking Suite
#计算机科学#[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.
#计算机科学#Pytorch implementation of the DeepDream computer vision algorithm
#计算机科学#PyTorch implementation of the OpenPose
Convert image folder to lmdb, adapted from Efficient-PyTorch
CNN model inference benchmarks for some popular deep learning frameworks