Search Results for "transfer function model" - Page 11
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Showing 414 open source projects for "transfer function model"
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Canon EOS DIGITAL Info
Utility for Reading/ editing some Infos on Canon EOS DSLRs
Canon doesn’t have shutter count included on the EXIF information of an image file, as opposed to Nikon and Pentax. There’s no official Canon based application to find the shutter count for an EOS DSLR. However, there are a few free tools that may help you to do this. They provide some details about the camera, including product Name, firmware version, battery level, shutter Counter, date/time, and owner/artist/copyright strings. But it does not support this features: Editing the... -
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Machine learning Resources
Some learning materials and research introduction on machine learning
...It serves as a curated knowledge base that introduces fundamental algorithms and techniques used in modern machine learning systems. The repository organizes materials that cover topics such as classification algorithms, neural networks, feature engineering, and model evaluation. Many sections reference research papers, tutorials, and open-source implementations that allow users to explore specific machine learning methods in greater depth. The project is maintained by researcher Jindong Wang, whose work focuses on machine learning research areas including transfer learning, domain adaptation, and robust learning methods. -
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PWMScan
A Web-based genome-wide Position Weight Matrix (PWM) Scanner
PWMScan is used to scan a position weight matrix (PWM) against a genome or, in general, a large set of DNA sequences. The PWM is the most commonly used mathematical model to describe the DNA binding specificity of a transcription factor (TF). A PWM contains scores for each base at each position of the binding site. The TF binding score for a given k-mer sequence is then obtained by simply adding up the base-specific scores at respective positions of the binding site. PWMScan takes as... -
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Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks"
Learn_Deep_Learning_in_6_Weeks compresses an introductory deep learning curriculum into six weeks of structured learning and practice. It begins with neural network fundamentals and moves through convolutional and recurrent architectures, optimization strategies, regularization, and transfer learning. The materials emphasize code-first understanding: building small models, training them on accessible datasets, and analyzing their behavior. Each week culminates in a tangible outcome—such as a working classifier or sequence model—so progress is visible and motivating. The plan also introduces practical considerations like GPU usage, checkpoints, and debugging training dynamics. ... -
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Snapshot Demo
Snapshot models the genes and reactions within human cells
Snapshot is a poly-omics model of the human cell allowing you to edit genes and see how it affects cell functionality and what diseases might arise. The full Genome scale metabolic model consists of the following: 92 Genes 53 Reactions 109 Metabolites 3 Cellular Compartments 7 Diseases Which can be found here for only £2!: https://www.scarboroughbiotech.com/ Note demo version is a much smaller genome scale model. -
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dotNet Disk Imager
Lightweight RAW and ZIP disk images reader and writer to USB or SD
IMPORTANT!!! Since this is new software, your web browser, operating system or even possibly antivirus software may report security alerts against this tool. Please ignore that messages until this tool gets widely spread. This program is highly inspired by Win32 Disk Imager and sort of copies it's function. However, I've added some features, like verification of readed/writed image file and the most important is on the fly support for zipped images. Another features worth... -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
...The repository provides training and evaluation code for standard few-shot benchmarks such as miniImageNet and Omniglot, making it possible to reproduce the experimental results reported in the paper. It includes model definitions, data loading logic, episodic training loops, and scripts that implement the N-way K-shot evaluation protocol common in few-shot research. Researchers can use this codebase as a starting point to test new ideas, modify relation modules, or transfer the approach to new datasets. -
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jQuery.initialize
jQuery plugin for dynamically created elements initialization
jQuery.initialize plugin is created to help maintain dynamically created elements on the page. jQuery.initialize will iterate over each element that matches the selector and apply the callback function. It will then listen for any changes to the Document Object Model and apply the callback function to any new elements inserted into the document that match the original selector. This allows developers to define an initialization callback that is applied whenever a new element matching the selector is inserted into the DOM. It works for elements loaded via AJAX. -
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HandyJSON
A handy swift json-object serialization/deserialization library
HandyJSON is a framework written in Swift which makes converting model objects( pure classes/structs ) to and from JSON easy on iOS. Compared with others, the most significant feature of HandyJSON is that it does not require the objects inherit from NSObject(not using KVC but reflection), nor implements a 'mapping' function(writing value to memory directly to achieve property assignment). HandyJSON is totally dependent on the memory layout rules inferred from Swift runtime code. ... -
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anaGo
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition
anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes... -
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SSD Keras
A Keras port of single shot MultiBox detector
...The main goal of this project is to create an SSD implementation that is well documented for those who are interested in a low-level understanding of the model. The provided tutorials, documentation and detailed comments hopefully make it a bit easier to dig into the code and adapt or build upon the model than with most other implementations out there (Keras or otherwise) that provide little to no documentation and comments. Use one of the provided trained models for transfer learning. -
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Convolutional Recurrent Neural Network
Convolutional Recurrent Neural Network (CRNN) for image-based sequence
...The implementation also integrates the Connectionist Temporal Classification (CTC) loss function, enabling end-to-end training of the model using labeled sequence data. CRNN has been widely used in computer vision tasks that require interpreting text embedded in images, such as reading street signs, documents, or natural scene text. -
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wz123win
wz123win File online management system
https://wz123win.sourceforge.io 1 realization of access and modification of permissions 2 perfect unzip Zip file to current directory function Remarks： 1 this system has only one file. 2 the user name and password are admin by default. You can edit the files directly. -
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GeoJAGS
JAGS module with covariance functions and the CAR model.
A module for JAGS containing several covariance functions for point-referenced data analysis and a function that creates the precision matrix for the proper CAR model for areal data analysis. -
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OutcropVR
See geologic outcrops in virtual reality
...With the laser pointer tool, you can create lines and planes that then display the trend/plunge or strike/dip. Use the Unity menu to select Tools/Localize Photogrammetry Model from UTM. This function takes in a photogrammetry .obj file that is in UTM coordinates and converts it into smaller numbers so that Unity can work with it. If a texture file is supplied as well, it will be mapped onto the object. -
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Designed to help you with nonlinear, multidimensional, multi-parameter regression, using the Levenberg-Marquardt algorithm. The regression model can be set up using the input syntax of most modern cas. Full featured visualization and data edit mask. Regression Easy needs help. Especially need to catch exceptions and give reasonable error messages. (In the moment, the standard error handler is invoked. Simply click "resume" on any error.) For newest binary builds, look in the "/bin"...
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auto_ml
Automated machine learning for analytics & production
auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on single dictionaries, roughly the process you'd likely follow to deploy the trained model. Before you go any further, try running the code. Load up some data (either a DataFrame, or a list of dictionaries, where each dictionary is a row of data). Make a column_descriptions dictionary that tells us which attribute name in each row represents the value we’re trying to predict. ... -
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Bias is a cross-platform versatile information management application / Organizer
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OpenSource Domain Name Registry Platform
Open-Source Domain Name Registry Platform based on Perl and mod_epp
...EPP Server supports the following RFCs: - RFC 5730 - (EPP) - RFC 5731 - (EPP) Domain Name Mapping - RFC 5732 - (EPP) Host Mapping - RFC 5733 - (EPP) Contact Mapping - RFC 5734 - (EPP) Transport over TCP The interface supports the following object types and transactions: - Domain commands: check, info, create, update, renew, delete, transfer - Host commands: check, info, create, update, delete - Contact commands: check, info, create, update, delete - Session commands: login, logout, hello, poll Uses the 'prepaid' billing model. The EPP Server, gives Registrars the ability to add, modify and delete information associated with domain names, name servers, contacts information on a real-time basis. ... -
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Communicates with Autopilot using UART communication @ BAUD: 38400. Uses custom made protocol for information transfer Uses Microsoft service provider based maps which are robust and detailed Off line map Save maps option when internet connection is present Saves camera profiles and enables user to create custom profiles for camera’s which include Camera Resolution, FOV, aspect ratio and lens Auto plotter function
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bobyqa-fortran95
minimize function f without using derivatives with bound constraints.
Michael Powells fortran 77 code BOBYQA is ported to fortran 95 with a more modern fortran 95 user interface. The objective function is made an argument to the minimization routine. That way several different functions can be minimized within the same program. The minimization routine does not use derivatives, only function values and a quadratic model is used instead. The assumption is that the objective function evaluation is expensive and the code tries to use as few function values as possible. -
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PadotusRNDT.js
This library allows you to generate a random number
This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test). -
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GenCodeGenerator
C++ class to generate biologically plausible genetic codes
...By default, the class "GeneticCode" generates alternative genetic codes, with the reqirement of block structure, and, optionally, with the assumption of stereochemical or biosynthetic models (to impose the assumption of the adaptive model, simply filter the codes using the error_cost() function). See Appendix in Makukov & shCherbak (2017) for the description of the algorithm. The code requires Qt 5. To compile the provided example, run 'qmake' to produce the Makefile, and then run 'make' to compile the executable file. License: Public Domain. -
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LorDG
3D genome reconstruction with Lorentzian objective function
LorDG is a software to build 3D chromosomes and genome model from chromosomal contact data such as Hi-C, TCC, 5C. Detail on how to use it: https://github.com/BDM-Lab/Lordg It is published in Nucleic Acids Research : http://nar.oxfordjournals.org/content/early/2016/11/29/nar.gkw1155.long Bioinformatics, Data Mining, Machine Learning (BDM) Laboratory, Jianlin Cheng, PhD Department of Computer Science University of Missouri, Columbia Email: chengji@missouri.edu -
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disp2sif
Stress intensity factor (SIF) calculation from crack tip displacements
The code implements Muskhelishvili's complex function approach to calculate 2D stress intensity factors (modes I+II) from crack tip displacement fields. Surface displacements can be used with a plane stress elastic model. The code uses power/Fourier series expansion and a conformal mapping of an ellipse onto a circle.