Search Results for "spike"
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Showing 46 open source projects for "spike"
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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snntorch
Deep and online learning with spiking neural networks in Python
...Because spiking neural networks operate over time and encode information through spike timing, the library includes tools for simulating temporal behavior. -
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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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coroot
Open-source observability for microservices
...With integrated Cost Monitoring, developers can track how each change affects their cloud bill. Understand your cloud costs down to any given application. Doesn't require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. Don't make assumptions, know exactly what the resources were spent on. Easily investigate any anomaly by comparing it to the system's baseline behavior. -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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NeuroSuite
Klusters, NeuroScope and NDManager
...NDManager (Neurophysiological Data Manager) is a simple graphical application designed to help neurophysiologists manage their experimental recording parameters (e.g., number of channels and sampling rate of the acquisition system) and process their data (data filtering, spike extraction, PCA, etc.) -
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SolanaMevBotGui
Solana Trade Bot is an open-source tool for automated trading on the
This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced algorithms, it can analyze complex data, learn, and provide intuitive solutions. Developed in popular languages like Python, it is fully customizable and open for community contributions and improvements. -
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This project provides a framework for scanning and executing various trading strategies on the TON blockchain ecosystem. It retrieves market data from multiple decentralized exchanges (DEXs) and applies a range of trading strategies to identify potential opportunities. This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced...
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Parallel and Distributed Process System
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace and Justice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author Computational Neuroscience: Large-scale neural population dynamics, brain-inspired... -
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RARS
RISC-V Assembler and Runtime Simulator
RARS, the RISC-V Assembler, Simulator, and Runtime, will assemble and simulate the execution of RISC-V assembly language programs. Its primary goal is to be an effective development environment for people getting started with RISC-V. -
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NESSIE is a modern first-principle calculation software that can adequately address the need for ever-higher levels of numerical accuracy and high-performance in large-scale electronic structure simulations, as well as pioneer the fundamental study of quantum many-body effects in a large number of emerging nanomaterials. NESSIE is an electronic structure code that uses a real-space FEM discretization and domain-decomposition (DD) to perform all-electron ground-state DFT and real-time...
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This project relates to research work at Imperial College conducted by members of the SPIKE (Structured and Probabilistic Intelligent Knowledge Engineering), including in particular logic-based learning systems such as TAL, ASPAL and ILASP.
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SPIKE dataset
Images and models for detection of wheat spikes in the field
The SPIKE dataset contains images with manually annotated ground truth labels for training and testing convolutional neural networks for spike detection of wheat in the field. The model files available here are to be used with the Faster R-CNN implementation of the freely available Microsoft Cognitive Toolkit, found at the following link https://www.microsoft.com/en-us/cognitive-toolkit/ Futhermore, an additional software tool will soon be available for using the models with an executable program requiring less setup and more visual steps of the process. -
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Spiky Storm
Shooting & survival Game
Life is not a bed of roses it is full of spike & struggle. As our life the goal of the game is to fight against the spike as long as you alive. Instruction: Press Arrow keys or A,S,D,W key to control the copter.Avoid the spikes & shoot them by pressing space. If the copter touches the positive balls then score will increase & score will decrease for the negative balls. -
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RELACS (Relaxed ELectrophysiological data Acquisition, Control, and Stimulation) for online spike detection, analysis, and stimulus generation maximizes the yield of your experiments. Program your experiments with hardware independent C++ plugins.
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TONIC
Analysis of neural spiking data generated by multi-electrode arrays
A neuroscience data analysis package for handling extracellular potentials recorded by multi-electrode arrays, including signal processing, event detection, feature extraction, and spike sorting. -
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Spike-pentesting
Sabayon. Pentesting edition.
Spike is a pentesting distribution based on Sabayon Linux. -
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Spike-pentesting-vm
Virtual machines Built for Testing Spike Pentesting Linux
https://sourceforge.net/projects/spikepentesting/files/isos/ irc://irc.freenode.net/#spike-pentesting irc://irc.freenode.net/#spike-pentesting-dev Exported virtualbox/Vmware compatable Virtual Machinespre made for ease and conviniance as curently the ISO's are apha. -
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Cerebellum Granule Neuron model
This is a detailed NEURON Model for a cerebellum granule cell.
...Numerical simulations indicated that granule cells have a compact electrotonic structure allowing EPSPs to diffuse with little attenuation from dendrites to axon. The spike arose almost simultaneously along the whole axonal ascending branch and invaded the hillock, whose activation promoted spike back-propagation with marginal delay (<200 micros) and attenuation (<20 mV) into the somato-dendritic compartment. For details check the cited article. Diwakar S, Magistretti J, Goldfarb M, Naldi G, D`Angelo E (2009) Axonal Na+ channels ensure fast spike activation and back-propagation in cerebellar granule cells J Neurophysiol 101(2):519-32 -
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GENESIS (GEneral NEural SImulation System) is a 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.
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SpikeAnalyzer
SpikeAnalyzer is a program for calcium spikes analysis
...The analysis parameters are automatically initialized upon loading the electrophysiological and confocal data in their respective proprietary formats (confocal data - .tif, electrophysiological data – .abf ver. 2.0). The analysis starts with interactive selection of spike positions and determining their temporal fluorescence profiles. The data approximation uses an automatic fitting procedure with visual control over the process and the quality of the fit, including statistical measures. SpikeAnalyzer is equipped with an original pixel time correction algorithm, introduced to account for the exact time of acquisition of individual pixels of the object in the image. ... -
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
WaveSorter emphasizes dynamic visualization and versatility. Slider controls let the user select any coefficient or sample from any of several transforms, which can then be plotted to either axis of a 2D histogram (scatterplot). Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform... -
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SpiKeDeteKt
An automatic spike detection program to be used with new KlustaKwik
This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 ( -
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NEural SOrter
a tool for offline electrophysiological recording analysis
...NESO offers new exclusive features like: - supports linux - analyzes many les at once - classifi es as the same unit the same - waveforms cointained in separated files at once - spike viewer allows you to select and delete artefacts very easily just dragging the cursor - selects spikes manually to sort or delete them with just one click At this point you can: - analyze NeuroShare and MultiChannel Systems recordings - view your recordings as superimposed waveforms or as waveforms in time - use PCA and Height vs Width analysis to extract waveform features - use Vectorial Quantization or K-Means anaysis to sort the waveforms (spikes) classify spikes as diferent units - use templates to sort spikes - save the analysis results as NeuroShare format Developers: Daniel de Santos Sierra Cristina Soto Sanchez
