Search Results for "python neural network" - Page 7
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633 projects for "python neural network" with 1 filter applied:
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Cloud-based help desk software with ServoDeskWhat if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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GTK+ IOStream
GTK+iostream, Data plots, ORB, Neural Networks, WSOLA
Create GTK+ interfaces using IOStream style code. Its simple and quick! Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating. This is great for embedded memory saving code. ... -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security -
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A simple but relatively complete DNS and DHCP implementation based on a MySQL (Or other) database with both servers drawing information from the same source thus eliminating one of the headaches of administering a small network.
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SIGAR (System Information Gatherer and Reporter) is a cross-platform, cross-language library and command-line tool for accessing operating system and hardware level information in Java, Perl and .NET.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors. -
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GT NLP Class
Course materials for Georgia Tech CS 4650 and 7650
...It spans core NLP topics such as language modeling, sequence tagging, parsing, semantics, and discourse, alongside modern machine learning methods used to solve them. Students work through programming exercises and problem sets that build intuition for both classical algorithms (like HMMs and CRFs) and neural approaches (like word embeddings and sequence models). The materials emphasize theory grounded in practical experimentation, often via Python notebooks or scripts that visualize results and encourage ablation studies. Clear organization and self-contained examples make it possible to follow along outside the classroom, using the repo as a self-study resource. ... -
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mod_openopc
just plain WORKS
mod_openopc is a full featured implementation of the OpenOPC library for Python. It is cross platform compatible (full Python 2.5 and up). We used to recommend running it on a POSIX platform (Unix / Linux), but thanks to modest efforts since 2014, performance in Windows OS environments is excellent. -
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S.E.E.R. 2 is a full featured SCADA / Historian / Aggregate Analysis System developed to work as a 'front end' for mod_openopc. Written in pure PHP (HTML 4.01 Transitional), and driven by a web-based user interface for universal deployment.
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Websocket Server in a Pure Data patch
a single patch for direct communications between Pd and web browsers
...download link (and notes) : https://sourceforge.net/projects/websocketserverinapatch/files/ "websocket-server in a patch.pd" single Pd file contains a reusable and fully documented websocket server, meant as an easy way to experiment with Pure Data <-> web-browsers communications through websockets, without the need of other software (like node.js or python) or any specific external to compile (just one deken library is required). A demo is included in the same patch : 'Flames', a simple cross-browser, multi-touch and multi-player graphical interface which makes Pd play creepy sounds :) Just try it : In Pd (vanilla) on Windows, Mac or Linux, install the 'mrpeach' library via 'Help->Find externals' menu, then open the patch and fire any recent web-browsers (on same machine or other computer, smartphone or tablet on same local network) with the URL provided at the top of main windows, and you're good to go ! -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. -
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ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code. Now ffnet has also a GUI called ffnetui.
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This is API (Application Programming Interface) for automating FOREX trading with FXCM (http://www.fxcm.com) accounts. It relies on network protocol used for first generation of FX TradingStation which is no longer used by FXCM so **the API is not functional anymore**. The API has been developed by reverse engineering network traffic between FX TradingStation (FXCM's trading platform) and FXCM's servers. The API substitutes client side of FX TradingStation (FXTS) system so FXCM servers treat Python code using this API as regular FXTS session. ...
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SNMP v1/v2c/v3 engine and apps written in pure-Python. Project moved to GitHub: https://github.com/etingof/pysnmp
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Fielddata Mgr
Land survey field crew data management for .RAW and .JOB file types.
Fielddata Mgr Overview This is a Python program, which means that one must install the open source freely available Python interpreter and a few required also open source, freely available modules that support the functionality of the program. The program "Fielddata Mgr", is customized for the Rick survey department, in such that it supports up to 9 chiefs, each having their own folder in one location, 2 supervisers, each with a PC on the network, and access to a main server. ... -
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded.
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BACnet - A Data Communication Protocol for Building Automation and Control Networks - see bacnet.org. This BACnet library provides a BACnet application layer and network layer written in Python for daemons, scripting, and graphical interfaces. This project has moved to GitHub.
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neurochess
Self chess learning process by artificial neural network
Self chess learning process by artificial neural network white random attribution to of values of chess game, before to pass opposed value to neural network and the desire successor of board with various part of game chess generated with minimax algorithm. -
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Generic directory service (for the EPICS tool set). Directory entries are channels with properties and tags. Applications can query a web service to retrieve channels based on wildcard matching on properties and tags, and manipulate the directory data. Code has been moved to GitHub at https://github.com/ChannelFinder
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pyCompry
A Python Script to Compress and Backup a Folder
This tool is featured with a very high compression mechanism hence useful in backing up large sized folders over a slow network, Or useful in reducing the backup size to a maximum possible. For detailed help, please refer to http://blogger.iamamazing.in/2016/01/automate-backup-with-python-script.html -
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DeepDream
This repository contains IPython Notebook with sample code
DeepDream is a small, educational repository that accompanies Google’s original “Inceptionism” blog post by providing a runnable IPython/Jupyter notebook that demonstrates how to “dream” through a convolutional neural network. The notebook shows how to take a trained vision model and iteratively amplify patterns the network detects, producing the hallmark surreal, hallucinatory visuals. It walks through loading a pretrained network, selecting layers and channels to maximize, computing gradients with respect to the input image, and applying multi-scale “octave” processing to reveal fine and coarse patterns. ... -
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A pure-Python library for performing client operations using the WBEM CIM-XML protocol. Attention: This project has been moved to http://pywbem.github.io
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Pootle, Virtaal & Translate Toolkit
Localization tools built by localizers for localizers
Tools for localization: - Pootle: web based translation management system. - Virtaal: Computer Aided Translation (CAT) tool. - Translate Toolkit: QA, format conversion and support (PO, Java .properties, OpenOffice, Mozilla, XLIFF, TMX, TBX, CSV, Qt .ts). -
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SNMP Simulator is a software that would act like a multitude of real physical devices from SNMP Manager's point of view. Simulator builds and uses a database of physical devices' SNMP footprints to respond like their real counterparts do. Project moved to GitHub: https://github.com/etingof/snmpsim
