Search Results for "prediction" - Page 5
Sort By:
Showing 446 open source projects for "prediction"
View related business solutions-
Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
-
Deliver a personalized customer experience with every interaction, across every channel, with uContact, net2phone’s cloud contact center solution.
-
1
EMAP
A Cloud-Edge Framework for EEG Monitoring and Real-time Anomaly Pred.
We present a real-time two-tiered framework called EMAP, which cross-correlates the input with all the EEG signals in our mega-database (a combination of multiple EEG datasets) at the cloud, while tracking the signal in real-time at the edge, to predict the occurrence of an anomaly. Using the proposed framework, we have demonstrated a prediction accuracy of up to 94% for the three different anomalies that we have tested. This work was published and presented at Design Automation Conference... -
2
Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few... -
3
The GeneRFinder-Benchmark is a comprehensive benchmark data for gene prediction which is based on data of CAMI (Critical Assessment of Metagenome Interpretation) and contains labeled data from gene regions. The benchmark is made up of 9 datasets. For each one of them is provided: - List of names, taxonomy ID and taxonomic level of the genomes of the organisms that make up the dataset (genomes.csv) - Set of sequences extracted from the respective selected genomes (sequences.fasta) - Ground...
-
4
Microarray assosiated motif analyzer
Cis-element prediction tool from microarray data
We developed a novel clustering-free method, microarray-associated motif analyzer (MAMA), to predict novel cis-acting elements based on weighted sequence similarities and gene expression profiles in microarray analyses. Simulation of gene expression was performed using a support vector machine and based on the presence of predicted motifs and motif pairs. The accuracy of simulated gene expression was used to evaluate the quality of prediction and to optimize the parameters used in this method... -
Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
-
5
Planimeter Game Engine 2D
Planimeter Game Engine 2D - LÖVE-based game engine for Lua
Planimeter Game Engine 2D - LÖVE-based game engine for Lua. Planimeter Game Engine 2D was designed for multiplayer-first game experiences and to bring professional-grade game engine features to the hobbyist community. It is the most feature-packed game engine you've ever heard of, and provides more functionality out-of-the-box than most other competing game engines. -
6
TCellXTalk
TCellXTalk Web-App from LP CSIC/UAB
TCellXTalk is a comprehensive database of experimentally detected phosphorylation, ubiquitination and acetylation sites in human T cells. The web-app at www.TCellXTalk.org makes TCellXTalk accessible from Internet, and enables the in silico prediction of potential co-modified peptides to facilitate their experimental detection, using targeted or directed mass spectrometry, for the study of protein post-translational modification cross-talk. More detailed information on TCellXTalk... -
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... -
8
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... -
9
CovidTrack
An experimental disease disaster management system (DDMS)
CovidTrack is an experimental project to create a National Disease Disaster Management Systems (DDMS) with broad-based capabilities for rapid response on - prediction, triage, containment & planning. A pilot version of the product is hosted at: https://www.covidtrack.me -
From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
-
10
Spotlight
Deep recommender models using PyTorch
..., and 20M. It also incorporates utilities for creating synthetic datasets. For example, generate_sequential generates a Markov-chain-derived interaction dataset, where the next item a user chooses is a function of their previous interactions. Recommendations can be seen as a sequence prediction task: given the items a user has interacted with in the past, what will be the next item they will interact with? Spotlight provides a range of models. -
11
MLBox
MLBox is a powerful Automated Machine Learning python library
MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to make... -
12
PyHubs
Hubness-aware machine learning in Python
PyHubs is a machine learning library developed in Python containing implementations of hubness-aware machine learning algorithms together with some useful tools for machine learning experiments. According to our recent observation, old versions of PyHubs (such as 1.2.1) does not provide correct results with new versions of numpy (such as 1.16), however, we think that the most recent version of PyHubs (1.3) works correctly with new versions of numpy as well. -
13
-
14
MetaErg
Metagenome Annotation Pipeline
MetaErg is a stand-alone and fully automated metagenome and metaproteome annotation pipeline published at: https://www.frontiersin.org/articles/10.3389/fgene.2019.00999/full. If you are using this pipeline for your work, please cite: Dong X and Strous M (2019) An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs. Front. Genet. 10:999. doi: 10.3389/fgene.2019.00999 The instructions on configuring and running the MetaErg pipeline is available at GitHub repository:... -
15
captcha_break
Identification codes
This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. It supports image verification... -
16
Zocalo is a toolkit for building Prediction Markets, markets in securities that pay out depending on outcomes of future events. A prediction market can provide estimates of the likelihood of specific outcomes that are more reliable than other sources of
-
17
automl-gs
Provide an input CSV and a target field to predict, generate a model
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model... -
18
GFS view
GFS view is the program for generate and display weather forecas
GFS view is the program to generate and display weather forecast maps from the National Centers for Environmental Prediction (NCEP) GFS data Quick and easy access to instant weather forecast data of the NCEP center Download many data sets at once: by several days, many issued time and many forecast times, by the variable time step and any combinations of grib code-level-heights Filter data on the server to save bandwidth, downloading time and a disk space, extensive set... -
19
NeuroNER
Named-entity recognition using neural networks
Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. "deep learning") Is cross... -
20
PSRFM
A Prediction Smooth Method for Satellite Image Fusion
This PSRFM (Prediction Smooth Reflectance Fusion Model) software is a feature rich C++ program for blending Landsat or Sentinel-2 satellite images (higher spatial resolution but lower temporal frequency) with MODIS images ((lower spatial resolution but higher temporal frequency) to generate an exploitation-ready time series of synthetic images (higher spatial resolution and temporal frequency). The current version was developed and compiled by using the Microsoft Visual Studio 2017. -
21
-
22
-
23
Market Reporter
Automatic Generation of Brief Summaries of Time-Series Data
... pipenv to make a Python environment for this project. Suppose you have a database named master on your local machine. Prediction submodule generates a single comment of a financial instrument at specified time by loading a trained model. -
24
The SPInDel workbench is a computational platform to facilitate the planning and management of SPInDel projects, alignment of nucleotide sequences, visualization and selection of conserved regions, calculation of PCR primers properties, prediction of SPInDel profiles and diverse statistical and phylogenetic analyses. It includes a large dataset comprising nearly 1,800 numeric profiles for the identification of eukaryotic, prokaryotic and viral species.
-
25
SpliceGrapher predicts alternative splicing patterns and produces splice graphs that capture in a single structure the ways a gene's exons may be assembled. It enhances gene models using evidence from next-generation sequencing and EST alignments.