convolutional-networks topic

Differentiable architecture search for convolutional and recurrent networks

quark0

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

implus

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

milesial

CNN visualization tool in TensorFlow

infocusp

shawnyuen

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

towhee-io

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Ar...

666DZY666

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

bentrevett

A self driving toy car using end-to-end learning

experiencor

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

udacity