Search Results for "prediction" - Page 4
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Showing 260 open source projects for "prediction"
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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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Gpredict
Real time satellite tracking and orbit prediction
Gpredict is a real-time satellite tracking and orbit prediction application. Gpredict can track an unlimited number of satellites and display the data in tables and various graphical view. -
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CODON SOFTWARE
The dataset and codon project files are available here.
Genome annotation conceptually consists of inferring and assigning biological information to gene products. Over the years, numerous pipelines and computational tools have been developed aiming to automate this task and assist researchers in gaining knowledge about target genes of study. However, even with these technological advances, manual annotation or manual curation is necessary. To assist with this problem, we present CODON, a tool for the prediction, annotation, and manual curation... -
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data... -
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Fun4Me
A package for functional annotation for metagenomes
This package includes a few programs for rapid functional annotation for metagenomic sequences, including, 1) Gene prediction by FragGeneScan; 2) Similarity search by RAPSearch2; 3) Functional annotation in GO (Gene Ontology) and EC (Enzyme Commission) based on similarity search results; 4) From EC to metabolic pathway reconstruction by MinPath. Inputs: Just sequencing reads (or assemblies) Outputs: Protein-coding genes (or gene fragments); similarity search; functional annotations... -
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Book Recomendation Ssystem
Design By Muhammad Naveed , Contact No/Wahstapp. +923024712782
..., the recommendation systems are widely used to recommend products to the end users that are most appropriate based on their interest prediction. Such e-commerce systems, the features of collaborative filtering are used to produce efficient and effective recommendations. Collaborative recommendation is probably the most familiar, most widely implemented and most mature of the technologies. Collaborative recommender systems aggregate ratings of objects, recognize commonalities -
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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... -
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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... -
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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...
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Red Hat Enterprise Linux on Microsoft AzureRed Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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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. -
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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... -
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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... -
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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. -
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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... -
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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. -
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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
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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... -
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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... -
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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... -
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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. -
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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.
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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.
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altanalyze
Alternative splicing and functional prediction analysis tool
AltAnalyze is a freely available, open-source and cross-platform program that allows you to take RNASeq or relatively raw microarray data (CEL files or normalized), identify predicted alternative splicing or alternative promoter changes and view how these changes may affect protein sequence, domain composition, and microRNA targeting. AltAnalyze is compatible with any RNASeq data (exons and/or junctions), several Affymetrix splicing sensitive array types (Gene 1.0, Exon 1.0, junction) as... -
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Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction... -
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RTC-simulator
Simulation and Control of Processing Plants
RTC (Real Time Control) is a program of M. Mulholland (2015). This is a simple interactive simulator including 20 different applications for such aspects as PID and DMC controller tuning, advanced level control, Smith prediction, Kalman filtering, and control strategies for a furnace, a boiler, and a hybrid system. A tutorial gives brief background to the theory and programming of each application, plus a stepwise set of objectives to illustrate the main features. The simulations include...