#Convolutional-networks
Showing 33 of 33 repositories tagged #convolutional-networks, ranked by stars
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Differentiable architecture search for convolutional and recurrent networks
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Image Deblurring using Generative Adversarial Networks
Paper Lists for Graph Neural Networks
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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).
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
CNN visualization tool in TensorFlow
Fully Convlutional Neural Networks for state-of-the-art time series classification
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)
A self driving toy car using end-to-end learning
High-quality Neural Networks for Computer Vision 😎
Keras tutorial for beginners (using TF backend)
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
Object classification with CIFAR-10 using transfer learning
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
Make pytorch and tensorflow two become one.
Deep learning research implemented on notebooks using PyTorch.
Implemented in pure pascal LightNet is an artificial intelligence neural network library Inspired by Darknet and yolo library which can run most of the darknet including YOLO models nativly and self dependently in pascal, tests are provided for both Lazarus and Delphi
Image Captioning: Implementing the Neural Image Caption Generator with python
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
Introduction to deep learning with Tensorflow.
A repository for sharing best of resources for learning the current state of the art in machine learning. Join our Facebook group:
Using Tensorflow to classify the NIST Dataset 19 (Handwriting)
A project on making a game like Quick Draw using Machine Learning with Convolutional Neural Network.