Search Results for "time series analisys" - Page 5
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Showing 369 open source projects for "time series analisys"
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UXF
Framework for creating human behaviour experiments in Unity
...Developed by Jack Brookes, Immersive Cognition Group, University of Leeds. Automates the process of collecting the variables you define within your task, and stores them simple CSV files. Time-series data such as the position and rotation of an object can be easily acquired and split into one file per trial. Allows you to programmatically define independent variables for your session, blocks and trials. Includes a pre-built UI for allowing the researcher to view and enter information about the session. All file IO tasks are performed concurrently in a separate thread to avoid any drops in the framerate. ... -
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Synthetic Data Vault (SDV)
Synthetic Data Generation for tabular, relational and time series data
The Synthetic Data Vault (SDV) is a Synthetic Data Generation ecosystem of libraries that allows users to easily learn single-table, multi-table and timeseries datasets to later on generate new Synthetic Data that has the same format and statistical properties as the original dataset. Synthetic data can then be used to supplement, augment and in some cases replace real data when training Machine Learning models. Additionally, it enables the testing of Machine Learning or other data dependent... -
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SpikingJelly
SpikingJelly is an open-source deep learning framework
SpikingJelly is an open-source deep learning framework for spiking neural networks that is primarily built on top of PyTorch and aimed at neuromorphic computing research. The project provides the components needed to build, train, and evaluate neural models that communicate through discrete spikes rather than the continuous activations used in conventional artificial neural networks. This makes it especially relevant for researchers interested in biologically inspired computing, event-driven... -
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Beads Viewer
Task management system for coding agents
Beads Viewer is a visualization tool designed to display, inspect, and interact with “bead plots,” graphical representations often used in statistical analysis, time series exploration, or clustering visualizations where data points are represented as beads on strands or axes to emphasize patterns and relationships. The viewer provides an intuitive graphical interface that automatically renders bead plots from structured data inputs, enabling users to observe trends at a glance, highlight clusters, or drill down into individual sequences. ... -
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the most effective techniques for series forecasting is using LSTM (long short-term memory) networks, which are a type of recurrent neural network (RNN) capable of remembering information over a long period of time. This makes them extremely useful for predicting stock prices. Predicting stock prices is a complex task, as it is influenced by various factors such as market trends, political events, and economic indicators. ... -
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DataScript
Immutable database and Datalog query engine for Clojure, ClojureScript
An immutable in-memory database and Datalog query engine in Clojure and ClojureScript. DataScript is meant to run inside the browser. It is cheap to create, quick to query and ephemeral. You create a database on page load, put some data in it, track changes, do queries and forget about it when the user closes the page. DataScript databases are immutable and based on persistent data structures. In fact, they’re more like data structures than databases (think Hashmap). Unlike querying a real... -
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Stanford CoreNLP
Stanford CoreNLP, a Java suite of core NLP tools
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentiment, quote attributions, and relations. CoreNLP currently supports 6 languages, Arabic, Chinese, English, French, German, and Spanish. The centerpiece of CoreNLP is the pipeline. Pipelines take in raw text, run a series of NLP annotators on the text, and produce a final set of annotations. ... -
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Kaggle Solutions
Collection of Kaggle Solutions and Ideas
...The repository also highlights important machine learning concepts such as feature engineering, cross-validation strategies, ensemble modeling, and post-processing methods commonly used in winning solutions. Because the content is organized by competition categories such as computer vision, natural language processing, tabular data, and time-series forecasting, users can explore techniques relevant to specific problem types. -
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Granite Code Models
A Family of Open Foundation Models for Code Intelligence
...Together, the materials position Granite Code as enterprise-friendly, permissively licensed models for practical software engineering assistance. They slot into the larger Granite ecosystem that includes language and time-series models, community cookbooks, and production guidance. -
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Prometheus JVM Client
Prometheus instrumentation library for JVM applications
It supports Java, Clojure, Scala, JRuby, and anything else that runs on the JVM. If you use Maven, you can simply reference the assets below. The latest version can be found on in the maven repository for io.prometheus. By default, counters, histograms, and summaries export an additional series suffixed with _created and a value of the unix timestamp for when the metric was created. Building the repository needs Java 11 (The project the project still supports Java 6 and Java versions > 11... -
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brms
brms R package for Bayesian generalized multivariate models using Stan
brms is an R package by Paul Bürkner which provides a high-level interface for fitting Bayesian multilevel (i.e. mixed effects) models, generalized linear / non-linear / multivariate models using Stan as the backend. It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). It supports model diagnostics, posterior predictive checking, model comparison,... -
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NullAway
A tool to help eliminate NullPointerExceptions (NPEs) in your code
...In our measurements, the build-time overhead of running NullAway is usually less than 10%. NullAway is also practical: it does not prevent all possible NPEs in your code, but it catches most of the NPEs we have observed in production while imposing a reasonable annotation burden, giving a great "bang for your buck." -
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PostgresML
The GPU-powered AI application database
...Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database. -
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DeepDetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch
...While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded. -
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CursusDB
CursusDB is an open-source distributed in-memory database
CursusDB is a time-series database built for high-performance analytics and data processing, optimized for handling large volumes of sequential data efficiently. -
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Fatlab
Free open-source fatigue analysis software
Fatlab is a fatigue post processor which takes results from FE analyses and combine those with load-time series in order to perform a detailed fatigue assessment of a component. It handles both multiaxiality through the critical plane method and non-linear FE models. -
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digiCamControl
Free camera control solution
digiCamControl is an free and open source software. This allows you to save time by transferring images directly from your camera to your computer as you take each shot and allow to control camera shooting parameters. -
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AngClust
AngClust: Angle-based feature clustering for time series
... * We defined three indicators to identify significant clusters: (i) the fluctuation degree of expression levels, (ii) homogeneity, and (iii) the degree of clustering while the clusters are functionally significant. * The clustering outcome of our algorithm (AngClust) is better than the currently most popular STEM algorithm. * AngClust can be used to analyze any short time series gene expression profiles. -
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BimmerLink Log Analysis
BMW / MINI Bimmerlink Log Visualizer
What is Bimmerlink? https://www.bimmerlink.app/ Bimmerlink is an application that reads real-time sensor data and vehicle telemetry from BMW and MINI cars through the OBD port. It allows users to capture time-series logs directly from the vehicle's electronic control units. In this project, I aimed to visualize the log files generated by Bimmerlink (exported as .csv) and convert them into a structured PDF report with charts and insights. -
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CGISim
Roman Space Telescope coronagraph (CGI) diffraction model/simulator
...It uses the PROPER optical propagation library (http://proper-library.sourceforge.net). It includes a manual and example routines. This is the model used at JPL to create CGI observation scenario time series. CGISim is a Python wrapper around the diffraction model to create dark hole images. It includes system transmission curves and will estimate fluxes. The user specifies the bandpass and spectral type, and the program will generate a broadband dark hole. It also uses the EMCCD simulator of Nemati & Miller (UAH) to add detector noise, if desired. ... -
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Nest-o-Patch
Software for analysis of patch-clamp recordings and other wave data
...The program includes tools both for basic analysis of whole-cell recordings or analysis of single channel properties. Program can display and analyse long traces incuding many sweeps, series and even groups simultaneously. Current amplitudes or time intervals are easily measured. Single channel conductance, kinetics, NPo, as well as number of channels in a patch and their open probability may be estimated with the analysis of dwelling time at each conductance level. The program directly reads files, created by Pulse and PatchMaster software (HEKA Elektronik Dr. ... -
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Jacobi-Static
STATIC/EX - simple multivariate statistics calculator
The STATIC/EX includes three applications: static.exe - a simple multivariate statistics calculator; spector.exe - file and online data viewer; tester.exe - an IPC client to develop and debug operations with embedded STATIC/EX IPC server. This toolkit can be used for: • user's training (who are interested in multivariate statistics) • scientific and other data researching. -
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dotScope
Scientific shell for live experiment
This is a light, but powerful shell for scientific real time experiment. Compatible with Arduino project, together with which make up the Open Source Digital Laboratory (https://osdlab.sourceforge.io). The last version of project is based on Qt5. Pluggable system: different ADC, conversion data in real time, postprocessing editor. Release 2.5: Store data to files, Several desktops, Complete version of postprocessing modules (Calculation, Linearization, Spline, Line regression, Statistic - mean and RMSD, Spectrum analyzer), Output table data for series experiments -
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Arctic TimeSeries and Tick store
High performance datastore for time series and tick data
Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some... -
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Twice crosses-circles
Random crosses-circles (tic-tac-toe).
...Since the advantage of the first move in tic-tac-toe is obvious, now it is necessary to draw up two adjacent (parallel anyway it will not work) rows. The computer needs to prevent this and make a regular series; at the same time, computer moves randomly, which is logical, since any meaningful move is guaranteed to deprive the chances of winning.
