Search Results for "analyze" - Page 8
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Showing 254 open source projects for "analyze"
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AIAlpha
Use unsupervised and supervised learning to predict stocks
AIAlpha is a machine learning project focused on building predictive models for financial markets and algorithmic trading strategies. The repository explores how artificial intelligence techniques can analyze historical financial data and generate predictions about asset price movements. It provides a research-oriented environment where users can experiment with data processing pipelines, model training workflows, and quantitative trading strategies. The project typically involves collecting market data, transforming financial indicators into machine learning features, and training models to identify patterns that may predict market trends. ... -
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Catalyst
An Algorithmic Trading Library for Crypto-Assets in Python
...It builds on top of Zipline, extending that ecosystem to support crypto exchanges and high-resolution historical data (daily and minute bars). Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics to evaluate profitability, risk, and behavior under different market conditions. Beyond backtesting, Catalyst was designed to support live trading on multiple crypto exchanges such as Binance, Bitfinex, Bittrex, and Poloniex, bridging simulation and production within the same framework. ... -
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BossSensor
Hide screen when boss is approaching
BossSensor is an experimental open-source application that uses computer vision and machine learning to detect when a specific person, such as a supervisor or manager, approaches a computer workstation. The project uses a webcam to continuously capture images and analyze them using a face classification model trained to distinguish between the designated “boss” and other individuals. When the system detects that the trained face appears in the camera view, the program automatically triggers actions such as hiding the user’s screen or switching to a safe display. The software relies on libraries such as OpenCV, TensorFlow, and Python-based machine learning tools to perform face detection and classification. ... -
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fooltrader
Quant framework for stock
...Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. You could write the Strategy using an event-driven or time walkway and view and analyze the performance in a uniform way. -
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anaGo
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition
...Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes essential methods like fit, score, analyze and save/load. For more complex features, you should use the anaGo modules such as models, preprocessing and so on. -
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DIGITS
Deep Learning GPU training system
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting... -
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Scadenzario
A way to track your scheduled bills, recursive or not.
It helps you tracking your scheduled bills or salary or whatever, recursive or not. In a nutshell, it helps to remember and analyze the budget. -
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i-Map - Plot Geolocation from Images
Automatically plots latitude, longitude from images on Google maps.
i-Map is a Photo metadata forensic tool for Geo-location analysis of images that are clicked from GPS enabled devices. In this tool, you can load 100s of images from a suspect's device and analyze them to know various locations where photos were clicked on mobile phone/tablet. After loading images, with a single click, iMap plots all the images on World Map to visually check where they have been captured, generate timeline and activity of suspect and match them with CDR (Call Detail Record) Details. To generate a report, you can export this data into PDF or Excel file according to your requirements. -
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bulbea
Deep Learning based Python Library for Stock Market Prediction
...It includes utilities for splitting datasets, normalizing time series, and training models such as recurrent neural networks that can capture temporal dependencies in market behavior. The library also incorporates sentiment analysis capabilities that analyze social media data, particularly from Twitter, to estimate public sentiment toward financial assets. -
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Arramooz Alwaseet Open Arabic Dictionary for morphological analyze. To be useful for Arabic language processing. This dictionary is derived from the Ayaspell Arabic spell checker.
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This project houses software to analyze data acquired from electrophysiology experiments. Currently, we have an Octave/MATLAB program to analyze electroneurogram traces of coupled oscillators, and a Perl library for the analysis of voltage trace data
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colorview2d
Extendible 2D color plotting tool.
Visualize and analyze 3D data files using 2D colorplots. Inspired by spyview. Written in python. -
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LOOS
Analyze molecular simulation data
LOOS is a light-weight object oriented software library for creating new tools for analyzing molecular simulation data, written in C++. The main design goal is to allow casual programmers to easily implement new analysis methods. THIS PAGE IS NO LONGER UPDATED. Please see https://github.com/GrossfieldLab/loos for all recent developments -
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Buildes
A designer’s program for describing parts of the building
Buildes is an integrated development environment that assists the user in creating building information. It reads a text (session) file from which it compiles the information. It then allows the user to browse, analyze and export the resulting building knowledge. The compilation system is written in pure Python. The building components created are rendered in PythonOCC. The GUI is written using PyQt. -
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AutoSigRecog
Automatic Signal Recognition
A tool to analyze I/Q recording saved as standard WAV file to find signal and their type (AM/FM/PM/SSB.... and so on). At moment under deep development... be patient, I'm not a pro developer! -
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Py3DN
Morphometric analysis and visualization of the 3D structure of neurons
Py3DN, is an open-source solution providing innovative tools to analyze 3D data collected with the widely used commercial system Neurolucida (MBF). It allows the construction of mathematical representations of neuronal topology, visualization and a variety of morphometric analysis on the neuronal structures. Above all, it provides a flexible environment where new types of analyses can be easily set up allowing total freedom to test new hypotheses. -
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pyMDMix
Molecular dynamics with aqueous-organic solvent mixtures
This python package aims to help people set up and analyze molecular dynamics simulations in aqueous-organic solvent mixtures. See D. Alvarez-Garcia et al. Journal of Medicinal Chemistry, 2014. -
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ExAM-Exome_Analysis_And_Mining
A whole exome sequencing analysis package and its graphical interface
...As a consequence of their power and of the rapidly decreasing cost of these technologies, massive amount of exome sequencing data are generated and becoming available to a broadening community of scientists. However, these data remain difficult to analyze and interpret by the general scientific community, due to the limited bioinformatics resources that are currently freely available for their analysis and the partial information that they provide. Here, we present an interactive and free analysis package, ExAM, dedicated to whole exome sequencing data analysis. It is accessible to non-computer scientists and provides a complete set of information, as well as decision support to prioritize candidate disease causing variants. -
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Analyzer for Files
A tool to look into file contents
Analyzer for Files (AoF) is a tool to look into file contents, analyze the structure with installed plug-ins, and show the results with several split windows including converted data and a tree if successful. It was designed as a workbench with a core and plug-in extensions. It can handle the normal plain-text file and data, complex binaries supported with the corresponding plug-ins. What's more, the developers can deploy and release their own plug-ins according to the plug-in developing standard. ... -
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*WARNING* gtburst moved to github (https://github.com/giacomov/gtburst). ########################################## gtBurst is a tool to download data, analyze and simulate Gamma-ray Bursts and Solar Flares as observed by the NASA Fermi satellite.
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**(9 march 2016) this project is continued on github : http://jaapkroe.github.io/polypy ** Python script to analyze (shortest-path) rings in structures read from xyz-files. It can be useful for example to identify defects in crystal structures or molecules.
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iMir
Integrated pipeline for HT miRNA-Seq data analysis
...To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs. -
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MDcons(Molecular Dynamics consensus)
Interpretation of Biomolecular MD simulations
MDcons is a tool to analyze conserved contacts during Molecular Dynamics (MD) simulations of Protein, Rna, Dna & Ligand based complexes. The input is either a Molecular Dynamics trajectory or a set of snapshots. The input can also be a single snapshot. The outputs are (1) map of most/less frequently conserved contacts during MD (2) a list of most/less frequently conserved contacts during MD. -
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xPyder PyMOL Plugin
Analyze and visualize coupled residues and their networks in proteins
xPyder is a PyMOL plugin to analyze and visualize on the 3D structure dynamical cross-correlation matrices (DCCM), linear mutual information (LMI), communication propensities (CP), intra- and inter-molecular interactions (e.g. PSN), and more, to produce highly customizable publication-quality images. xPyder identifies networks (using concepts from graph theory, such as hubs and shortest path searching), compares matrices and focuses the analysis on relevant information by filtering the data using a modular, user-expandable plugin system that takes advantage of structural and dynamical information, contributing to bridge the gap between dynamical and mechanical properties at the molecular level. -
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Pyc
python compiler
https://github.com/jplevyak/pyc Pyc is a python compiler intended for high performance computing and programming-in-the-large. It uses the IFA library to statically analyze python programs, catch potential errors and generate efficient code.
