Search Results for "predictor"
Sort By:
Showing 33 open source projects for "predictor"
View related business solutions-
Moving 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.
-
Moving 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.
-
1
Stake-predictor
The Stake Crash Predictor is a tool designed to predict the next multi
The Stake Crash Predictor is a tool designed to predict the next multiplier number in crash game on stake. It utilizes advanced machine learning techniques to provide predictions for crash game depending on the api data. Features Data Analysis: The predictor leverages historical market data to identify patterns and trends that may indicate an upcoming crash. Machine Learning Models: Advanced ML models are employed to learn from the historical data and make accurate crash predictions... -
2
High Dynamic Range Visual Difference Predictor (HDR VDP) is a perceptual metric that can predict whether differences between two images are visible to the human observer or not.
-
3
Emb-GAM
An interpretable and efficient predictor using pre-trained models
Deep learning models have achieved impressive prediction performance but often sacrifice interpretability, a critical consideration in high-stakes domains such as healthcare or policymaking. In contrast, generalized additive models (GAMs) can maintain interpretability but often suffer from poor prediction performance due to their inability to effectively capture feature interactions. In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for... -
4
Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series... -
We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
-
5
Dice Bot
predict outcomes on the well-known gambling site Dice-Bot.
Overview Dice-Bot Predictor is a software tool designed to predict outcomes on the well-known gambling site Dice-Bot. This tool is intended to help users make informed decisions when participating in gambling activities on Dice-Bot. Features Trial Version: You can use Dice-Bot Predictor for a trial period of 2 hours to try out its features. Windows Support: Dice-Bot Predictor is compatible with Windows operating systems. Ban-Free: This software is designed to operate without... -
6
PLEK
predictor of long non-coding RNAs and mRNAs based on k-mer scheme
INSTALLATION Pre-requisite: 1. Linux 2. C/C++ compiler (i.e. gcc, g++) 3. Python 2.5.0 or later versions (http://www.python.org/) Steps: 1. Download PLEK.1.2.tar.gz from https://sourceforge.net/projects/plek/files/ and decompress it. $ tar zvxf PLEK.1.2.tar.gz 2. Compile PLEK. $ cd PLEK.1.2 $ python PLEK_setup.py USAGE python PLEK.py -fasta fasta_file -out output_file -thread number_of_threads -minlength min_length_of_sequence -isoutmsg 0_or_1... -
7
MFACE
A high-resolution model of field-aligned currents
MFACE is a high-resolution field-aligned currents model derived from ten years of CHAMP data with a novel technique based on EOF decomposition. Predictor variables include MLat, MLT, DoY, IMF conditions, Vsw and AE index. Compared to existing models, MFACE yields significantly better spatial resolution, reproduces typically observed FAC thickness and intensity, improves on the magnetic local time distribution, and gives the seasonal dependence of FAC latitudes and the NBZ current signature. Our... -
8
DisPC – a large scale disorder prediction and analysis tool which is a meta-predictor in one hand and also performs a proteome wide analysis of function, binding region prediction and evolutionary conservation analysis of the intrinsically disordered proteins (IDPs). DisPC is tested in several bacterial and fungal genomes for detailed genome wide analysis of IDPs. This pipeline can be used for large scale identification and characterization of IDPs in different domains of life.
-
9
-
Amazingly simple admin software that will streamline your business, reduce your admin, automate your billing and eliminate late payers.
-
10
snpEff is a fast variant effect predictor (SNP, MNP and InDels) for genomic data. It is integrated with Galaxy so it can be used either as a command line or as a web application.
-
11
Generic predictor that not depends data itself, this assumes original data is in L2(R) and there exists sampling theorem.
-
12
MAP
Microsatellite instability Absolute single sample Predictor
-
13
esPOS
A predictor to identify essential protein from PPI network
Predicting essential proteins from protein-protein interactions using order statistics -
14
Spectrator
Utility for manipulate predictor and L1 policy MSR
Simple utility for control CPU IA32_SPEC_CTRL /IA32_PRED_CMD/IA32_FLUSH_CMD When active Windows Spectre Protection write in MSR IA32_SPEC_CTRL incorect! -
15
NanoGLADIATOR
Real-time detection of copy number alterations from nanopore data.
Nano-GLADIATOR is a novel software tool that allows to analyze WGS data generated during a MinION or GridION X5 run for the detection of copy number alterations (CNAs). Nano-GLADIATOR (Nanopore Genomic aLterations AnD allelIc frAcTiOn pRedictor) is capable to perform CNVs/CNAs detection and allelic fraction prediction during the sequencing run ("On-line" mode for real time molecular karyotyping) and once the experiment is completed ("Off-line" mode, for parallel analysis of multiple samples... -
16
Win-Brash
A Windows Native Bourne Shell Interpreter
Win-Brash is a recoding, from scratch, of the Bourne shell as a native Microsoft Windows multi-threaded command line application. It uses Bourne shell syntax but recognizes Windows file names. The TAB key helps convert Unix style pathnames to fully valid windows pathnames. It also adds missing backslashes -- to reduce the need to always type two. For Documentation see: http://www.bordoon.com/brash To give brash.exe a try, use the download link to get winbrash-1.2.16.zip. Unzip... -
17
faif
C++ header only library with AI and bioinformatics algorithms
C++ header only library, small and fast; Naive Bayesian Classifier, Decision Tree Classifier (ID3), DNA/RNA nucleotide second structure predictor, timeseries management, timeseries prediction, generic Evolutionary Algorithm, generic Hill Climbing algorithm and others. -
18
KA-predictor
lysine acetylation site prediction
This predictor is developed to predict species-specific lysine acetylation sites based on support vector machine (SVM) classifier. It is supplied in source code form along with th e required data files and run under the linux. The input is a protein sequence file (fasta format). -
19
PrAS
predict protein amidation sites
This predictor is developed to predict amidation sites based on support vector machine (SVM) classifier. It is supplied in source code form along with the required data files and run under the linux. The input is a protein sequence file (fasta format) by Tong Wang and Wei Zheng (tongwang.scu@gmail.com and jlspzw139@sina.com) Notice:You should download all zip file in this project! -
20
Random Bits Regression
Random Bits Regression is a strong general predictor.
We proposed an accurate, robust and fast general predictor (RBR) for regression and classification in big data era. The application of this method is very broad, from science to industry, finance and health. The accuracy and robustness improvement of our method over existing method could bring huge benefits in some critical applications. For example, natural disaster prediction, stock price prediction, personal/population disease prediction. The fast-speed nature of our method not only allows... -
21
FPF_predict
Fine Particle Fraction (FPF) predictor
Application implements models described by classical mathematical equation for in vitro deposition prediction based on characteristics of formulation and assay conditions. This work was funded by Poland-Singapore bilateral cooperation project no 2/3/POL-SIN/2012. Published article: https://www.dovepress.com/empirical-modeling-of-the-fine-particle-fraction-fornbspcarrier-based--peer-reviewed-fulltext-article-IJN -
22
PSION
Predictor from Sequence of ION channels
Predictor from Sequence of ION channels. -
23
This program demonstrates the use of Learning Entropy for novelty detection in time series where relatively simple real-time learning systems can instantly detect novelty in otherwise complex dynamical behaviour. This program and the Python code is free for non-commercial use with no warranty. Updates: v. 1.3: Inverse z-scoring bug fixed. Unused function get_path deleted. v. 1.2: Single-hidden layer MLP predictor implemented. Prediction horizon p - functionality fixed. v. 1.1...
-
24
adhesin prediction tools
Standalone version of adhesin prediction tools
This project provides users with standalone version of adhesin prediction tools- SPAAN: a software program for prediction of adhesins and adhesin-like proteins, MAAP: Malarial adhesin and adhesin-like proteins predictor and FungalRV adhesin predictor. The individual readme with each software contains the detailed instructions of software installation and usage procedures. These softwares are artificial intelligence based non-homology methods developed to aid identification of novel adhesins... -
25
Activity Prediction Software
To envision the radiation exposure in Neutron Activation Experiments
A software called Activity Predictor is developed using Java TM programming language. The Activity Predictor calculates activities, exposure rates and gamma spectra of activated samples for NAA experiments. The calculation procedure for predictions involve both analytical and Monte Carlo methods. The Activity Predictor software is validated by a series of activation experiments. It has been found that this software calculates the activities and exposure rates precisely. The software also...