Search Results for "lotto prediction algorithm"

Showing 34 open source projects for "lotto prediction algorithm"

View related business solutions
  • Manage your entire team in one app Icon
    Manage your entire team in one app

    With Connecteam you can manage every aspect of your business on the go, no workstation needed.

    Connecteam is an award-winning all-in-one employee management solution for daily operations, communications, and human resource management.
  • Cyber Risk Assessment and Management Platform Icon
    Cyber Risk Assessment and Management Platform

    ConnectWise Identify is a powerful cybersecurity risk assessment platform offering strategic cybersecurity assessments and recommendations.

    When it comes to cybersecurity, what your clients don’t know can really hurt them. And believe it or not, keep them safe starts with asking questions. With ConnectWise Identify Assessment, get access to risk assessment backed by the NIST Cybersecurity Framework to uncover risks across your client’s entire business, not just their networks. With a clearly defined, easy-to-read risk report in hand, you can start having meaningful security conversations that can get you on the path of keeping your clients protected from every angle. Choose from two assessment levels to cover every client’s need, from the Essentials to cover the basics to our Comprehensive Assessment to dive deeper to uncover additional risks. Our intuitive heat map shows you your client’s overall risk level and priority to address risks based on probability and financial impact. Each report includes remediation recommendations to help you create a revenue-generating action plan.
  • 1
    tsfresh

    tsfresh

    Automatic extraction of relevant features from time series

    tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python....
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    TextGen

    TextGen

    textgen, Text Generation models

    Implementation of Text Generation models. textgen implements a variety of text generation models, including UDA, GPT2, Seq2Seq, BART, T5, SongNet and other models, out of the box. UDA, non-core word replacement. EDA, simple data augmentation technique: similar words, synonym replacement, random word insertion, deletion, replacement. This project refers to Google's UDA (non-core word replacement) algorithm and EDA algorithm, based on TF-IDF to replace some unimportant words in sentences...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    NannyML

    NannyML

    Detecting silent model failure. NannyML estimates performance

    ... science, empowering data scientist to quickly understand and automatically detect silent model failure. By using NannyML, data scientists can finally maintain complete visibility and trust in their deployed machine learning models. When the actual outcome of your deployed prediction models is delayed, or even when post-deployment target labels are completely absent, you can use NannyML's CBPE-algorithm to estimate model performance.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4

    OpenWheel

    Creation of Covering Set using a greedy algorithm

    It's a console program. It create Lotto Covering Set or OpenWheels using a true greedy method with full usage of multithreads and 64bits addressing. It can create partial wheels for lotto or keno games. It can handle m=3..12 Up to v=99 balls k up to 12. Of course real values dépends of your hardware configuration. You have to agree with a big Y the ressources involved.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Email and SMS Marketing Software Icon
    Email and SMS Marketing Software

    Boost Sales. Grow Audiences. Reduce Workloads.

    Our intuitive email marketing software to help you save time and build lasting relationships with your subscribers.
  • 5

    chimera

    ChiMera: An easy-to-use pipeline for Genome-based Metabolic Network re

    There is a scarcity of user-friendly tools that can be used in daily routine, providing insights about the metabolic network of a target organism for researcher’s groups. Here we present a novel tool, Chimera, which combines the most efficient tools in model reconstruction, prediction, and visualization and also implements new in-house algorithms for database integration and data manipulation. Our goals: Produce an organism-specific model based on the CarveMe algorithm Manage the model...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    AmPEP and AxPEP

    AmPEP and AxPEP

    Sequence-based Antimicrobial Peptide Prediction by Random Forest

    Antimicrobial peptides (AMPs) are promising candidates in the fight against multidrug-resistant pathogens due to its broad range of activities and low toxicity. However, identification of AMPs through wet-lab experiment is still expensive and time consuming. AmPEP is an accurate computational method for AMP prediction using the random forest algorithm. The prediction model is based on the distribution patterns of amino acid properties along the sequence. Our optimal model, AmPEP with 1:3 data...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 7

    AUDACITY

    AUtozygosity iDentification And ClassIfication Tool

    AUDACITY is novel computational approach for the identification of Runs of Homozygosity by using VCF files from whole-exome and whole-genome sequencing data generated by second generation sequencing technologies. AUDACITY is a tool integrating novel RoH detection algorithm and autozygosity prediction score for prioritization of mutation-surrounding regions. ###################################################################### The AUDACITY tool has been published on Computational...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 8
    GWOVina 1.0

    GWOVina 1.0

    The Hybrid Grey Wolf Optimization for Protein-Ligand Docking

    Protein-ligand docking programs are indispensable tools for predicting the binding pose of a ligand to the receptor protein. Based on the implementation of AutoDock Vina, GWOVina employs grey wolf optimization (GWO) algorithm to speed up the search for optimal ligand poses. Our rigid docking experiments show that GWOVina has enhanced exploration capability leading to significant speedup in the search while maintaining comparable binding pose prediction accuracy to AutoDock Vina. For flexible...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    DACO-algorithm

    DACO-algorithm

    A novel transcription factor complex prediction algorithm.

    Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines protein-protein...
    Downloads: 1 This Week
    Last Update:
    See Project
  • All-in-One Payroll and HR Platform Icon
    All-in-One Payroll and HR Platform

    For small and mid-sized businesses that need a comprehensive payroll and HR solution with personalized support

    We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
  • 10
    miRDeep*

    miRDeep*

    MiRDeep*

    Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction.
    Leader badge
    Downloads: 1 This Week
    Last Update:
    See Project
  • 11
    PF_HP

    PF_HP

    Prediction of proteinfolding in 2D HP model

    Even in the simplified two dimensional HP-model (hydrophob/polar) the prediction of proteinfolding is NP complete. We implement a brute force algorithm with serial and parallel execution to solve short inputs of HP sequences (0-1 bitstrings). Selbst im vereinfachten zweidimensionalen HP-Modell (hydrophob/polar) ist die Proteinfaltung bereits NP-vollständig. Hier implementieren wir einen brute-force Algorithmus zur Lösung kurzer Eingabesequenzen (0-1-Bitstrings) für die Proteinfaltung. Spende...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 12

    BioPPSy

    A biochemical property prediction system

    Computationally predicts the pharmacokinetic properties of drug candidates using Quantitative Structure Property Relationships (QSPR) modelling. Assembles a set of tools and databases for predicting the physical properties of small molecules. The program models a given property's dependence on a collection of molecular and structural descriptors using a training set of molecules. Neural networks and support vector regression are available, as well as linear models. The models generated by...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 13
    MUSE

    MUSE

    A Multi-algorithm Collaborative Structure-prediction Environment

    MUSE is short for Multi-algorithm-collaborative Universal Structure-prediction Environment, which was developed for easy use in structure prediction of materials under ambient or extreme conditions, such as high pressure. It was written in Python and organically combined the multi algorithms including the evolutionary algorithm, the simulated annealing algorithm and the basin hopping algorithm to collaboratively search the global energy minimum of materials with the fixed stoichiometry. After...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14
    cfPred

    cfPred

    Chou & Fasman algorithm implemented using C language.

    Chou & Fasman algorithm implemented using C language. It is a CUI tool used for protein secondary structure prediction.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    faif

    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.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 16

    Random Bits Forest

    RBF: a Strong Classifier/Regressor for Big Data

    We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    CommunityProfiling
    ... metrics, which we have shown are important for optimizing the performance of this new approach. Please refer to our paper for details of the algorithm: Dazhi Jiao, Wontack Han and Yuzhen Ye. Functional association prediction by community profiling. Methods, 2017
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18

    PSICOV

    The unofficial binary for PSICOV: Protein Sparse Inverse COVariance

    PSICOV (Protein Sparse Inverse Covariance estimation program) is a coevoultion algorithm applied to very large (typically >=1000 sequences) multiple sequence alignments for precise protein structural contact prediction. This is the unofficial precompiled Windows binary for PSICOV compiled by Chengxin Zhang at Fudan University. The source code is copyrighted by David T. Jones, University College London.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19
    ingap-cdg

    ingap-cdg

    codon-based de Bruijn graph algorithm for gene construction

    Currently, most gene prediction methods detect coding sequences (CDSs) from transcriptome assembly when lacking of closely related reference genomes. However, these methods are of limited application due to highly fragmented transcripts and extensive assembly errors, which may lead to redundant or false CDS predictions. Here we present a novel algorithm, inGAP-CDG, for effective construction of full-length and non-redundant CDSs from unassembled transcriptomes. inGAP-CDG achieves...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20

    BiRW

    Bi-random Walks for Phenome-Genome Association Prediction

    The availability of ontologies and systematic documentations of phenotypes and their genetic associations has enabled large-scale network-based global analyses of the association between the complete collection of phenotypes (phenome) and genes. BiRW is a package designed for analysis and prediction of the phenome-genome associations. BiRW package contains a program for analysis of circular bigraphs (CBGs) and the bi-random walk (BiRW) algorithm to capture the CBG patterns in the networks...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21
    ExSTraCS

    ExSTraCS

    Extended Supervised Tracking and Classifying System

    This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ExSTraCS was primarily developed...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22

    CNVision

    CNV prediction from Illumina genotyping data

    CNVision is a Perl script that runs Illumina genotyping data (all chips from 300k to latest Omni) through PennCNV, QuantiSNPv2.3 and GNOSIS (an in-built algorithm). It merges the results and assesses the quality of the raw data. CNVision can also identify de novo CNVs in family-based data using a highly accurate algorithm that considers the possibility of CNVs in either parent based on the raw genotyping data. The script is optimized to work in a UNIX-based environment; it should work...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 23

    Unsupervised Random Forest

    On-line Unsupervised Random Forest

    This tool uses Random Forest and PAM to cluster observations and to calculate the dissimilarity between observations. It supports on-line prediction of new observations (no need to retrain); and supports datasets that contain both continuous (e.g. CPU load) and categorical (e.g. VM instance type) features. In particular, we use an unsupervised formulation of the Random Forest algorithm to calculate similarities and provide them as input to a clustering algorithm. For the sake of efficiency...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 24
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 25
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • 2
  • Next