511 Open source projects that are alternatives of or similar to Human_Activity_Recognition

Anomaly detection for temporal data using LSTMs

List of papers, code and experiments using deep learning for time series forecasting

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

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

ES6 module of cubism.js, based on d3v5.

Node caching HTTP proxy built on top of express-http-proxy. Persists requests and responses to an in-memory HAR-like data structure based on HAR1.2 . Caches JSON content-type responses by default with the ability to cache an entire site; including content-types describing images. Useful for testing front end code, mocking api, and saving the cac…

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

Poor man's time series functionality for PostgreSQL

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Resampling Tools for Time Series Forecasting with Modeltime

Classification of Urban Sound Audio Dataset using LSTM-based model.

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

R Functions implementing UCR Matrix Profile Algorithm

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Periodic time series analysis tools based on information theory

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

TalariaDB is a distributed, highly available, and low latency time-series database for Presto

Enables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats

Hands-on training labs for Deep Learning in Time Series course by CERTIFAI

Python package for automatically constructing features from multiple time series

Open weather data for humans

All the code files related to the deep learning course from PadhAI

Synthetic Data Generation for mixed-type, multivariate time series.

Data abstraction, storage, discovery, and serving system

An overview of univariate time series forecasting models with sample code.

Shiny app for Price Optimization using prophet and lme4 libraries for R.

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

Classifying time series using feature extraction

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.

A time series database prototype with multiple backends

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)

A Python Package For System Identification Using NARMAX Models

一款简单、轻量、高效的Android记事、记账应用

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS

bitcoin prediction algorithms

A Python library for machine-learning and feedback loops on streaming data

Type check tool

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

雷达回波外推，ConvLSTM，训练模型并外推。

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

Library for accessing HTTP Archives (HAR) with Java

A Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Collection of several downsampling methods for time series visualisation purposes.

Download and tidy time series data from the Australian Bureau of Statistics in R

A Framework For Using HAR Files To Analyze Web Pages

Creating a model to analyze and predict the trend of the prices of gold.

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

Using LSTM network for time series forecasting

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

Wavefront plugin for go-metrics

An Online Web Game "You Perform, I Guess!" based on C3D Model

An LSTM example using tensorflow to predict the next word in a text

Model data as beliefs (at a certain time) about events (at a certain time).