443 Open source projects that are alternatives of or similar to Xsum

Neural networks toolbox focused on medical image analysis

Important paper implementations for Question Answering using PyTorch

papers on scalable and efficient machine learning systems

A binary library for very fast face detection using compact CNNs.

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight

Naszilla is a Python library for neural architecture search (NAS)

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

A generalized gradient-based CNN visualization technique

Real time face alignment

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

A simple interface for editing natural photos with generative neural networks.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

CNN image style transfer 🎨.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Repository has been moved: https://github.com/adobe/antialiased-cnns

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Deep learning codes and projects using Python

CNN image classifier implemented in Keras Notebook 🖼️.

Image reconstruction done with untrained neural networks.

Lung fields segmentation on CXR images using convolutional neural networks.

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

Hiding Images within other images using Deep Learning

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

MR-CNNs for Large-Scale Scene Recognition

keras project that parses and analyze english resumes

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

A journey into Convolutional Neural Network visualization

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

A curated list of Deep Learning resources sorted by reputation

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

A machine learning experiment

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

HDLTex: Hierarchical Deep Learning for Text Classification

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Image Deblurring using Generative Adversarial Networks

Interactive convnet features visualization for Keras

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Implementation of Very Deep Convolutional Neural Network for Text Classification

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

Simplify the training and tuning of Tensorflow models

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

A High-Quality Real Time Upscaler for Anime Video

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)