convolutional-networks

#计算机科学#PyTorch implementation of the U-Net for image semantic segmentation with high quality images

#计算机科学#Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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

#计算机科学#Differentiable architecture search for convolutional and recurrent networks

#大语言模型#Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

#计算机科学#Image Deblurring using Generative Adversarial Networks

#计算机科学#Paper Lists for Graph Neural Networks

#计算机科学#PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

#计算机科学#Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

#计算机科学#Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

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

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

CNN visualization tool in TensorFlow

Evaluation of the CNN design choices performance on ImageNet-2012.

#计算机科学#Fully Convlutional Neural Networks for state-of-the-art time series classification

#计算机科学#real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

#计算机科学#A self driving toy car using end-to-end learning

#计算机科学#High-quality Neural Networks for Computer Vision 😎

#计算机科学#U-Net: Convolutional Networks for Biomedical Image Segmentation