1385 Open source projects that are alternatives of or similar to Sparse Structured Attention

Action recognition using soft attention based deep recurrent neural networks

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

DeepFaceLab is the leading software for creating deepfakes.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

All DeepLearning4j projects go here.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Flops counter for convolutional networks in pytorch framework

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Visualizing RNNs using the attention mechanism

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Fake News Detection using Deep Learning models in Tensorflow

DeeplabV2 segmentation in Keras.

CRF-RNN PyTorch version http://crfasrnn.torr.vision

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

A paper list of object detection using deep learning.

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Deepfakes Software For All

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

Train and visualize Hierarchical Attention Networks

deeplearning.ai , By Andrew Ng, All video link

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Implementation of Quickdraw - an online game developed by Google

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Service Classification based on Service Description

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

3D Unet Equipped with Advanced Deep Learning Methods

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Data-centric declarative deep learning framework

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Gorgonia is a library that helps facilitate machine learning in Go.

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

The code for the MaD TwinNet. Demo page:

List of articles related to deep learning applied to music

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Deep neural networks for predicting CpG methylation

Awesome GAN for Medical Imaging

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Attention-guided CNN for image denoising(Neural Networks,2020)

Deep neural network to extract intelligent information from invoice documents.

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

machine learning and deep learning tutorials, articles and other resources

Learning Chinese Character style with conditional GAN

Deep Learning Projects that Build Themselves

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Voice Activity Detection based on Deep Learning & TensorFlow

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code