Search Results for "predictor"
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Showing 40 open source projects for "predictor"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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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. Real... -
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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... -
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DocTR
Library for OCR-related tasks powered by Deep Learning
DocTR provides an easy and powerful way to extract valuable information from your documents. Seemlessly process documents for Natural Language Understanding tasks: we provide OCR predictors to parse textual information (localize and identify each word) from your documents. Robust 2-stage (detection + recognition) OCR predictors with pretrained parameters. User-friendly, 3 lines of code to load a document and extract text with a predictor. State-of-the-art performances on public document... -
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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... -
Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
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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... -
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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 violating Dice... -
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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 -isrmtempfile... -
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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.
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Every customer interaction is vital to your business success and revenue growth. With Jiminny’s AI-powered conversation intelligence software, we take recording, capturing, and meticulous analysis of call recordings to the next level. Unlock call analytics that provide actionable insights with our call tracking software, empowering you to identify what's working and what's not. Seamlessly support your biggest objectives across the entire business landscape with our innovative call tracking system.
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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.
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Generic predictor that not depends data itself, this assumes original data is in L2(R) and there exists sampling theorem.
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MAP
Microsatellite instability Absolute single sample Predictor
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esPOS
A predictor to identify essential protein from PPI network
Predicting essential proteins from protein-protein interactions using order statistics -
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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! -
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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... -
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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 it,... -
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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). -
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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. -
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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! -
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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... -
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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 -
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JK Lossless Video Codec
Interframe lossless video codec using 3D prediction
This codec was developed for the purpose of bachelor's thesis on Faculty of Information Technology, Brno University of Technology, Czech Republic. Project is under LGPL licence. You can use this codec e.g. for screen recording via CamStudio. Records can be directly imported in Vegas Pro/Movie Studio. -
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PSION
Predictor from Sequence of ION channels
Predictor from Sequence of ION channels. -
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Beam Strength Predictor
Predicts Moment Capacity of Beams
Requires Java Runtime Environment (JRE). You can download it at: http://www.oracle.com/technetwork/java/javase/downloads/index.html -
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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: "Separate...