2680 Open source projects that are alternatives of or similar to Deep Learning Based Ecg Annotator

Minimal Example of Using Vulkan for Compute Operations. Only ~400LOC.

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Documentation about using JavaScript with Haxe

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

📚 A RESTful API example for simple todo application with Go

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Example Django application running on CircleCI

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

RxJava 2 Android Examples - Migration From RxJava 1 to RxJava 2 - How to use RxJava 2 in Android

Compilation of Flutter materials for Android developers

《深度学习与计算机视觉》配套代码

🤯 beginners tutorial building a real time counter in Phoenix 1.5.5 + LiveView 0.14.7 ⚡️

keras를 이용한 딥러닝 기초 학습

A short example illustrating some essential steps for creating a progressive web app (PWA).

Neural word segmentation with rich pretraining, code for ACL 2017 paper

An example Node.js bot for generals.io. Learn more at http://dev.generals.io/api#tutorial

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

Java教程，包括多线程，泛型，反射，IO，容器类,注解

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

My Attempt(s) In The World Of ML/DL....

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

examples written using golang third party packages.

Tensorflow implementation : U-net and FCN with global convolution

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

📖 [译] Gainlo 面试指南

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

NumPy官方中文文档（完整版）

Android OCR example application which uses Google Text Recognition API

Spoken Language Understanding(SLU)/Slot Filling in Keras

Use Django To Create A Simple Shopping Site Tutorial

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

Tips and recipes for Fish, from shell to plate. 🍣

Time series prediction with Sequential Model and LSTM units

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Java 8 Guides and Tutorials - A lot of awesome examples using Java 8 features like Stream, Lambda, Functional Interface, Date and Time API and much more

The Prometheus monitoring system and time series database.

A use-case focused tutorial for time series forecasting with python

Keras implementation of video classifier

Serverless.js with Next.js 5 on AWS, powered by the Serverless Framework

Best Practices on Recommendation Systems

In this tutorial I will be showing you how to create Onboarding screen in Android Studio from scratch without using any library.

A community-updated list of video, audio and written tutorials to help you learn GatsbyJS. 👩‍💻

Machine learning, in numpy

documentation package for Go conventions

A small tutorial to show how to create a PHP application without a framework.

A Python application and tutorial that use Flask framework to provide a REST API to receive requests from the UI. The API then persists the data to a Cloudant database.

A Tensorflow based implicit recommender system

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

React Redux Cheat Sheet on Workflow & Concept

The source for https://www.gobuffalo.io

Sarcasm detection on tweets using neural network

MEAN stack application with Auth0 (see sample deployed at https://rsvp.kmaida.net)

A tutorial for reflex-dom with small code bits

Char-level RNN LSTM text generator📄.