Search Results for "predict number"
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Showing 23 open source projects for "predict number"
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Our robust pre-built connectors and our no-code, drag-and-drop interface makes it easy and fast to automatically sync vendors, invoices, and invoice payment data between Tipalti and your ERP or accounting software.
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Built for growing businesses and well-established enterprises alike, Multiview is a highly scalable and robust ERP.
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Circuitscape.jl
Algorithms from circuit theory to predict connectivity
Circuitscape is an open-source program that uses circuit theory to model connectivity in heterogeneous landscapes. Its most common applications include modeling the movement and gene flow of plants and animals, as well as identifying areas important for connectivity conservation. The new Circuitscape is built entirely in the Julia language, a new programming language for technical computing. Julia is built from the ground up to be fast. As such, this offers a number of advantages over... -
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spacy-transformers
Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
spaCy supports a number of transfer and multi-task learning workflows that can often help improve your pipeline’s efficiency or accuracy. Transfer learning refers to techniques such as word vector tables and language model pretraining. These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any pre... -
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Python Outlier Detection
A Python toolbox for scalable outlier detection
... network-based models, e.g., AutoEncoders, which are implemented in both PyTorch and Tensorflow. PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS. -
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ModelFox
ModelFox makes it easy to train, deploy, and monitor ML models
... learning model by running modelfox train with the path to a CSV file and the name of the column you want to predict. The CLI automatically transforms your data into features, trains a number of linear and gradient boosted decision tree models to predict the target column, and writes the best model to a .modelfox file. If you want more control, you can provide a config file. -
Give your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
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Iperf 2
A means to measure network responsiveness and throughput
Iperf here is a means of measuring networks - capacity & latency (including ECN) over sockets both TCP and UDP. The goals include maintaining an active iperf code base across a broad set of platforms and operating systems. This is a multi-threaded design that scales with the number of CPUs or cores within a system. It supports both high impact and low impact techniques to obtain and report network performance. Current release: 2.2.0, April 10, 2024 (2.2.1 per coming soon) About iperf 2... -
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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... -
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RQ-Transformer
Implementation of RQ Transformer, autoregressive image generation
Implementation of RQ Transformer, which proposes a more efficient way of training multi-dimensional sequences autoregressively. This repository will only contain the transformer for now. You can use this vector quantization library for the residual VQ. This type of axial autoregressive transformer should be compatible with memcodes, proposed in NWT. It would likely also work well with multi-headed VQ. I also think there is something deeper going on, and have generalized this to any number... -
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Dice Simulator
Simulator for Dice Probabilites
... (like CRTs). If you want to predict dice results in an easy to use manner, check it out! PS: If you happen to add CRTs of other games , please consider sending me the crts.txt file, so I can share the CRTs here. 07/13/2021 -Bugfix CRTs New version 03/05/2021. - Cosmetic fixes - Added Draw Cards -Added CRTs for one-dice CRTs (includes Paths of Glory, Illusions of Glory, Pursuit of Glory CRTS. You can add your own.) -Improved Export -
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node-markov-generator
Generates simple sentences based on given text corpus
This simple generator emits short sentences based on the given text corpus using a Markov chain. To put it simply, it works kinda like word suggestions that you have while typing messages in your smartphone. It analyzes which word is followed by which in the given corpus and how often. And then, for any given word it tries to predict what the next one might be. Here you create an instance of TextGenerator passing an array of strings to it - it represents your text corpus which will be used... -
Speedy Claims became the top CMS-1500 Software by providing the best customer service imaginable to our thousands of clients all over America. Medical billing isn't the kind of thing most people get excited about - it is just a tedious task you have to do. But while it will never be a fun task, it doesn't have to be as difficult or time consumimg as it is now. With Speedy Claims CMS-1500 software you can get the job done quickly and easily, allowing you to focus on the things you love about your job, like helping patients. With a simple interface, powerful features to eliminate repetitive work, and unrivaled customer support, it's simply the best HCFA 1500 software available on the market. A powerful built-in error checking helps ensure your HCFA 1500 form is complete and correctly filled out, preventing CMS-1500 claims from being denied.
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based... -
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JCVI VIGOR
Viral Genome ORF Reader
VIGOR (Viral Genome ORF Reader) is a perl application to predict protein sequences encoded in viral genomes. VIGOR determines the protein coding sequences by sequence similarity searching against curated viral protein databases. Please see the wiki to see list of all supported viruses. This work has been funded in whole or part with federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services under... -
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Baseball Stat Optimization
Predict baseball team wins from individual stats
What contributes to a winning team? How much is a hit worth, versus a walk? To address these questions, we consider the team stats and optimize the weights of each statistic to wins using the simulated annealing method of parameter optimization. Individual stats (such as hits, strikeouts, stolen bases) and not collective stats (runs, runs allowed, ERA) are considered, although the code can be trivially modified to consider any stats. From these stats, we predict a number of wins, and optimize... -
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Lottery A.I.
Uses weights created by winning lottery numbers to predict the future
This program takes the oldest winning lottery numbers to the newest winning lottery numbers entered by the user to create a data base to predict the future winning lottery number. First time I used it I won money. -
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mCarts
A hidden Markov model to predict clustered RNA motif sites
Many RBPs recognize very short and degenerate sequences, with targeting specificity achieved by mechanisms such as synergistic binding to multiple clustered sites and modulation of site accessibility through different RNA-secondary structures. mCarts integrates the number and spacing of individual motif sites, their accessibility and conservation, which substantially improves signal to noise ratio. This algorithm learns and quantifies rules of these features, taking advantage of a large number... -
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GPS Plotting System (GPSPS)
Designed for the hobby of launching & tracking weather balloons.
This software is designed to facilitate the hobby of launching and tracking down weather balloons by the plotting of a GPS's location on Google Earth, via the NMEA format. As a bonus this software will predict an airborne balloon payload using U.S. weather sounding data and take many variables into account. GPSPS also allows multiple plots to be active at once. Input should follow the NMEA format, currently only GPRMC or GPGGA NMEA messages are supported. -
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GESPA
Accurately predicts disease association of single nucleotide mutations
GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy. The software can be used clinically to determine if observed nsSNPs... -
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Ever wanted to predict Copy Number Variants from your Exome data? Here is CNVler, a tool which is able to predict CNVs in Parent-Child trios, tumor-normal pairs (somatic) and population (germline).
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CloisterWalk
Reveal fractal patterns in irrational numbers
CloisterWalk can test your favorite number or will let you choose a number from a list. Many provided numbers are known irrationals, others are still uncertain. Enter the number of steps you would like to walk and click the Go button to produce a graph. If a number does not seem interesting, try switching between the square and hexagonal grids. Can you predict what is going to happen next time you click the Go button? Can you figure out why fractal patterns emerge? Can CloisterWalk... -
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FantasticLifeExpectancyCalculator
Calculate your and your spouse's life expectancy !
Using statistical modelling against raw data obtained from a USA Annuity mortality table, the Fantastic Life Expectancy Calculator allows users to input a number of parameters to determine their life expectancy. This calculator is provided free and for entertainment purposes only. It does not claim to accurately predict life expectancy for a specific individual or a specific couple. -
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PseudoDomain
Accurate identification of pseudogenes without genome annotations
Pseudogenes are dysfunctional DNA sequences that share sequence similarities with functional genes. Accurate identification of pseudogenes is important to understand biological and evolutionary histories of genomes and genes. PseudoDomain is a processed pseudogene identification tool with high sensitivity and low false positive rate. It can identify pseudogenes in species that do not have accurate genome annotations. In addition, it can accurately predict the number and positions of frameshifts... -
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CRUMp
A probabilistic prediction system of protein phosphorylation sites
... the accession number of the protein sequence and the position numbers of known phosphorylation sites. Note that CRUMp may predict additional phosphorylation sites that have not been experimentally verified yet. The testing dataset is from Biswas et al. 2010, http://www.biomedcentral.com/1471-2105/11/273/additional. -
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vCGH (virtual CGH) is a program that use microarray gene expression data to predict DNA copy number abberation in lymphoma samples.
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Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).
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