Search Results for "tuning"
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Showing 14 open source projects for "tuning"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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ClearML
Streamline your ML workflow
...The ClearML Python Package for integrating ClearML into your existing scripts by adding just two lines of code, and optionally extending your experiments and other workflows with ClearML powerful and versatile set of classes and methods. The ClearML Server storing experiment, model, and workflow data, and supports the Web UI experiment manager, and ML-Ops automation for reproducibility and tuning. It is available as a hosted service and open source for you to deploy your own ClearML Server. The ClearML Agent for ML-Ops orchestration, experiment and workflow reproducibility, and scalability. -
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AutoGluon
AutoGluon: AutoML for Image, Text, and Tabular Data
...Intended for both ML beginners and experts, AutoGluon enables you to quickly prototype deep learning and classical ML solutions for your raw data with a few lines of code. Automatically utilize state-of-the-art techniques (where appropriate) without expert knowledge. Leverage automatic hyperparameter tuning, model selection/ensembling, architecture search, and data processing. Easily improve/tune your bespoke models and data pipelines, or customize AutoGluon for your use-case. AutoGluon is modularized into sub-modules specialized for tabular, text, or image data. You can reduce the number of dependencies required by solely installing a specific sub-module via: python3 -m pip install <submodule>. -
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MLJBase.jl
Core functionality for the MLJ machine learning framework
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ. -
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Discord.SortedSet
Elixir SortedSet backed by a Rust-based NIF
SortedSet NIF is a performant and reliable sorted set data structure for Elixir, implemented in Rust using the Rustler crate to take advantage of native performance while maintaining seamless integration with the BEAM ecosystem. It provides ordering and uniqueness guarantees, with all terms stored according to Elixir’s built-in sorting rules. Internally, it uses a vector of vectors layout rather than a single vector to minimize costly reallocations, allowing efficient bucket pointer copying... -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Searchkick
Intelligent search made easy
...Indexing is model-centric: you declare what fields to index, add computed fields, and trigger reindexing via callbacks or background jobs, with options for zero-downtime rolling reindexes. On the query side, a simple API covers relevance tuning, boosting, filtering, faceting/aggregations, and pagination, while still allowing direct access to advanced Elasticsearch features when needed. It integrates with Rails scopes and authorization patterns, making it straightforward to return only records the user can see. By wrapping complex search infrastructure in a clean Ruby interface, Searchkick lets teams deliver fast, relevant search experiences without becoming experts. -
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Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several... -
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Hypercube
Graph visualizing tool
Hypercube is a tool for visualizing DOT (graphviz), GML, GraphML, GXL and simple text-based graph representations as SVG and EPS images. Hypercube comes with a Qt based GUI application and a Qt-independent command-line tool. It uses a simulated annealing algorithm to lay out the graph, that can be easily parameterized to achieve the desired look. The main development goals are portability and easy usage rather than high performance and complexity. -
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Charmol
Program for molecular graphics
...Charmol is capable of making pictures containing: - from small- to large-size molecules - more molecules together (different settings possible) - orbitals using molden and fchk files (GTO functions up to 'h' angular momentum supported) - surfaces using gaussian cube files (also color-mapped surfaces according to potential) - schematic representation of vibrations using arrows - user-defined arrows representing vectorial properties - measuring gauges - combinations of these features (more orbitals together, orbitals and arrows together etc.) Charmol allows for fine tuning of the final molecular design. -
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ScikitLearn.jl
Julia implementation of the scikit-learn API
The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework. -
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GXSM
Scanning Probe Microscopy Controller and Data Visualization Software
GXSM -- Gnome X Scanning Microscopy: A multi-channel image and vector-probe data acquisition and visualization system designed for SPM techniques (STM,AFM..), but also SPA-LEED/LEED/LEEM data analysis. A plug-in interface allows any user add-on data-processing and special hardware and instrument support. Latest: NC-AFM and related explorative methods as SQDM can be configured. High-Speed external PAC-PLL hardware option with digital DSP link. Based on several hardware options it supports... -
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DISTOD
Distributed discovery of bidirectional order dependencies
The DISTOD data profiling algorithm is a distributed algorithm to discover bidirectional order dependencies (in set-based form) from relational data. DISTOD is based on the single-threaded FASTOD-BID algorithm [1], but DISTOD scales elastically to many machines outperforming FASTOD-BID by up to orders of magnitude. Bidirectional order dependencies (bODs) capture order relationships between lists of attributes in a relational table. They can express that, for example, sorting books by... -
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postgresqltuner.pl
Simple script to analyse your PostgreSQL database configuration
postgresqltuner is a Perl script designed to analyze PostgreSQL database configurations and provide tuning advice. It assists database administrators in optimizing performance by offering recommendations based on the current setup. -
13
books
Auto Tuning Studio Specification, QT5
...Код совсем не оптимизирован, сделан на коленке, первый проект на QT ____________________________________ Maintaining a database of vehicles in production or tuning studio . A simple base, with the possibility of adding a basic material for production. Nailed to a particular production . The code is not optimized , made on the knee , the first project on the QT. -
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TronTool
Tuning of java neuroph.org neural nets.
By using a neural net from neuroph.org with the programmlanguage Java, you can change the net by this software. Easy watch it on the screen and move the values up or down. More or less value at the output neurons. Saving, Loading from different .nnet`s. Adding comments. Changing the visible output neuron Setting wished input neurons to get visible. A small fast and easy weight version and a continuing version, which should get involved in the neuroph project.
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