Search Results for "scoring"
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Showing 33 open source projects for "scoring"
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The #1 Embedded Analytics Solution for SaaS Teams.Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
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Top-Rated Free CRM SoftwareHubSpot 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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Agent Zero
Agent Zero AI framework
.... The terminal interface is real-time streamed and interactive. You can stop and intervene at any point. If you see your agent heading in the wrong direction, just stop and tell it right away. There is a lot of freedom in this framework. You can instruct your agents to regularly report back to superiors asking for permission to continue. You can instruct them to use point-scoring systems when deciding when to delegate subtasks. Superiors can double-check subordinates' results and disputes. -
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NGBoost
Natural Gradient Boosting for Probabilistic Prediction
ngboost is a Python library that implements Natural Gradient Boosting, as described in "NGBoost: Natural Gradient Boosting for Probabilistic Prediction". It is built on top of Scikit-Learn and is designed to be scalable and modular with respect to the choice of proper scoring rule, distribution, and base learner. A didactic introduction to the methodology underlying NGBoost is available in this slide deck. -
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MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
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CTFd
CTFs as you need them
CTFd is a Capture The Flag framework focusing on ease of use and customizability. It comes with everything you need to run a CTF and it's easy to customize with plugins and themes. Create your own challenges, categories, hints, and flags from the Admin Interface. Dynamic Scoring Challenges. Unlockable challenge support. Challenge plugin architecture to create your own custom challenges. Static & Regex-based flags. Custom flag plugins. Unlockable hints. File uploads to the server or an Amazon S3... -
Bright Data - All in One Platform for Proxies and Web ScrapingBright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
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Feast
Feature Store for Machine Learning
Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference. Make features consistently available for training and serving by managing an offline store (to process historical data for scale-out batch scoring or model training), a low-latency online store (to power real-time prediction), and a battle-tested feature server (to serve pre-computed... -
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Marvin
A batteries-included library for building AI-powered software
Meet Marvin: a batteries-included library for building AI-powered software. Marvin's job is to integrate AI directly into your codebase by making it look and feel like any other function. Marvin introduces a new concept called AI Functions. These functions differ from conventional ones in that they don’t rely on source code, but instead generate their outputs on-demand through AI. With AI functions, you don't have to write complex code for tasks like extracting entities from web pages, scoring... -
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TensorFlow Ranking
Learning to rank in TensorFlow
TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform. Commonly used loss functions including pointwise, pairwise, and listwise losses. Commonly used ranking metrics like Mean Reciprocal Rank (MRR) and Normalized Discounted Cumulative Gain (NDCG). Multi-item (also known as groupwise) scoring functions. LambdaLoss implementation for direct ranking metric optimization. Unbiased Learning-to-Rank from biased feedback data. We envision that this library... -
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BentoML
Unified Model Serving Framework
BentoML simplifies ML model deployment and serves your models at a production scale. Support multiple ML frameworks natively: Tensorflow, PyTorch, XGBoost, Scikit-Learn and many more! Define custom serving pipeline with pre-processing, post-processing and ensemble models. Standard .bento format for packaging code, models and dependencies for easy versioning and deployment. Integrate with any training pipeline or ML experimentation platform. Parallelize compute-intense model inference... -
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Django-CRM - Free Open Source Software
Enterprise CRM software + Tasks management, Email marketing and more!
Django CRM system is easy to use and can be run on a personal laptop for a private entrepreneur (for example) or on a cloud web server for a large enterprise. Written in Python, CRM is an open-source software package for managing customer interactions and sales. This free CRM software is a powerful tool designed to optimize workflows, and support data-driven decisions. Key features include role-based access control, intuitive navigation, powerful filtering, and search functionalities. The... -
Red Hat Ansible Automation Platform on Microsoft AzureDeploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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Rank-BM25
A Collection of BM25 Algorithms in Python
A collection of algorithms for querying a set of documents and returning the ones most relevant to the query. The most common use case for these algorithms is, as you might have guessed, to create search engines. -
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ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
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DockStream
A Docking Wrapper to Enhance De Novo Molecular Design
DockStream is a docking wrapper providing access to a collection of ligand embedders and docking backends. Docking execution and post hoc analysis can be automated via the benchmarking and analysis workflow. The flexilibity to specifiy a large variety of docking configurations allows tailored protocols for diverse end applications. DockStream can also parallelize docking across CPU cores, increasing throughput. DockStream is integrated with the de novo design platform, REINVENT, allowing one... -
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PORORO
Platform of neural models for natural language processing
pororo performs Natural Language Processing and Speech-related tasks. It is easy to solve various subtasks in the natural language and speech processing field by simply passing the task name. Recognized speech sentences using the trained model. Currently English, Korean and Chinese support. Get vector or find similar words and entities from pretrained model using Wikipedia. -
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MethyMer
Design of specific primer combinations for bisulfite sequencing
MethyMer is a Python-based tool aimed at selecting specific primers for amplification of complete CpG islands. These regions are difficult in terms of selection appropriate primers because of their low-complexity, polyN-, CG-richness, etc. MethyMer have a flexible scoring system capable of selecting primers in problematic regions (e.g. SpG islands) and includes specificity test (based on bowtie alignment against bisulfite-treated genome). It also incorporates TCGA CpG methylation... -
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Scattertext 0.2.1
Beautiful visualizations of how language differs among document types
A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot. Points corresponding to terms are selectively labeled so that they don't overlap with other labels or points. -
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DreamStudio by Volocian Studios
Free yourself
Volocian believes first and foremost that financial status shouldn’t be a barrier to entry in multimedia content creation. Whether you want to design a product or website, record a band, remix a song, or produce a feature length movie with professional post production graphics and effects, Volocian™ wants to help, even if you’re using borrowed hardware with no previous experience. We provide affordable products and services for any budget, including cost-free solutions for education and demo... -
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InMethyl
Design of target-specific primers for bis. sequencing of CpG-islands
... on the calculation of scoring factor including primer pair specificity, nucleotide composition (sequence complexity), thermodynamic features (melting temperature, dimers dG etc.), presence of CpG-sites and other parameters. Users are intended to customize the desired or limit ranges of these values, as well as penalties for out-of-bounds values. InMethyl software allows to optimize combination of PCR primer pairs to perform the amplification of large genomic regions, e.g. CpG-islands. -
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srst
Short Read Sequence Typing
Update - SRST2 Now Available ------ 25 Sep, 2013 This project has now been replaced by SRST2 - Short Read Sequence Typing for Bacterial Pathogens, available at http://katholt.github.io/srst2/ The new SRST2 program does gene typing as well as MLST (e.g. typing resistance genes, virulence genes, etc). SRST2 is faster and more accurate than the old SRST, using bowtie2 to achieve local alignments (no need for flanking sequences) and a brand new scoring system. -
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GEPETTO - Gene Prioritization in Java
GEPETTO (GEne Prioritization ExTended TOol)
... interactions, gene expression, disease-causing probabilities, genomic context). GEPETTO is written in Java/Python and supported by an advanced modular architecture, which means that it can easily be modified and extended by the user, in order to include alternative scoring methods and new data sources. We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database. Contact: bmhoan@gmail.com or walter.vincent.fr@gmail.com -
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UPDATE: The latest version of NNScore1 can be found here: http://git.durrantlab.com/jdurrant/nnscore1 The latest version of NNScore2 can be found here: http://git.durrantlab.com/jdurrant/nnscore2 ================ NNScore is a scoring function for characterizing the potency of receptor-ligand complexes. It is based on neural networks, computational models that simulate the microscopic organization of the brain.
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The Lost Amulet is a text-based RPG similar in style and plot to The Colossal Cave Adventure. You must enter the ruins of a castle to retrieve a lost artifact, the Amulet of Vigour.
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Bibs is a cross country (running) meet management and scoring program, which provides for teams entry, scoring, and results.
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OneDesign is a convenient scoring program for one-design sailboat racing. The program is written in python and uses the wxPython module to provide an attractive user interface on Windows, Mac OS X and most UNIX systems.
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Augustus
PMML-compliant scoring engine and analytic toolkit
Augustus development has moved to google code. The new project page is augustus.googlecode.com. New releases of the project are not currently being released to sourceforge. Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments. Versions of Augustus support PMML 3, 4.0.1, and 4.1.