Search Results for "evaluation"
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Showing 817 open source projects for "evaluation"
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1
Stockfish
UCI chess engine
... is open source (GPLv3 license). That means you can read the code, modify it, and contribute back. You can use Stockfish on your computer or on your iOS or Android device. So you can get world-class chess analysis, wherever you are. The Stockfish engine features two evaluation functions for chess, the classical evaluation based on handcrafted terms, and the NNUE evaluation based on efficiently updatable neural networks. -
2
pkg
Package your Node.js project into an executable
This command line interface enables you to package your Node.js project into an executable that can be run even on devices without Node.js installed. Make a commercial version of your application without sources. Make a demo/evaluation/trial version of your app without sources. Instantly make executables for other platforms (cross-compilation). Make some kind of self-extracting archive or installer. No need to install Node.js and npm to run the packaged application. No need to download hundreds... -
3
Orange Data Mining
Orange: Interactive data analysis
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for... -
4
SLIME
The Superior Lisp Interaction Mode for Emacs
SLIME is a Emacs mode for Common Lisp development. Inspired by existing systems such Emacs Lisp and ILISP, we are working to create an environment for hacking Common Lisp in. SLIME extends Emacs with support for interactive programming in Common Lisp. The features are centered around slime mode, an Emacs minor mode that complements the standard lisp mode. While lisp-mode supports editing Lisp source files, slime-mode adds support for interacting with a running Common Lisp process for... -
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5
PHP Parser
A PHP parser written in PHP
This is a PHP 5.2 to PHP 8.0 parser written in PHP. Its purpose is to simplify static code analysis and manipulation. A parser is useful for static analysis, manipulation of code and basically any other application dealing with code programmatically. A parser constructs an Abstract Syntax Tree (AST) of the code and thus allows dealing with it in an abstract and robust way. As the parser is based on the tokens returned by token_get_all (which is only able to lex the PHP version it runs on),... -
6
i-Educar
Launching the most free educational software in Brazil
Accessible from anywhere and with single student registration available for the entire education network. Time-saving for everyone. Get current quantitative, financial and statistical data on all processes, at the time and place you want. Evaluation system and reports adapted to the different realities of the country, with numerical, conceptual or descriptive evaluation notes. Management of allocations, removals, substitutions, absences and delays, offering an integrated view of all... -
7
OpenCompass
OpenCompass is an LLM evaluation platform
Just like a compass guides us on our journey, OpenCompass will guide you through the complex landscape of evaluating large language models. With its powerful algorithms and intuitive interface, OpenCompass makes it easy to assess the quality and effectiveness of your NLP models. OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Pre-support for 20+ HuggingFace and API models, a model evaluation... -
8
Aniseed
Neovim configuration and plugins in Fennel (Lisp compiled to Lua)
Aniseed bridges the gap between Fennel (a Lisp that compiles Lua) and Neovim. Allowing you to easily write plugins or configurations in a Clojure-like Lisp with great runtime performance. For interactive evaluation, you need to install Conjure as well. It’ll allow you to send portions of your code off for evaluation as well as see the results in an interactive log buffer. Aniseed ships with a set of module macros that make interactive evaluation not only possible but rich and intuitive. You... -
9
Prompt flow
Build high-quality LLM apps
Prompt flow is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, and evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality. -
Google Cloud’s AI-powered APIs help you translate documents, websites, apps, audio files, videos, and more at scale with best-in-class quality and enterprise-grade control and security.
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10
TradeMaster
TradeMaster is an open-source platform for quantitative trading
TradeMaster is a first-of-its-kind, best-in-class open-source platform for quantitative trading (QT) empowered by reinforcement learning (RL), which covers the full pipeline for the design, implementation, evaluation and deployment of RL-based algorithms. TradeMaster is composed of 6 key modules: 1) multi-modality market data of different financial assets at multiple granularities; 2) whole data preprocessing pipeline; 3) a series of high-fidelity data-driven market simulators for mainstream QT... -
11
BERTScore
BERT score for text generation
Automatic Evaluation Metric described in the paper BERTScore: Evaluating Text Generation with BERT (ICLR 2020). We now support about 130 models (see this spreadsheet for their correlations with human evaluation). Currently, the best model is Microsoft/debate-large-online, please consider using it instead of the default roberta-large in order to have the best correlation with human evaluation. -
12
dvisvgm
A fast DVI, EPS, and PDF to SVG converter
The command-line utility dvisvgm is a tool for TEX/LATEX users. It converts DVI, EPS, and PDF files to the XML-based vector graphics format SVG. In contrast to bitmap graphics, vector graphics are arbitrarily scalable without loss of quality. All modern web browsers support a large amount of the current SVG standard 1.1. Furthermore, SVG files can also be displayed with the Java-based Squiggle SVG browser which is part of the Apache Batik project, and the free vector graphics editor Inkscape. -
13
H2O LLM Studio
Framework and no-code GUI for fine-tuning LLMs
Welcome to H2O LLM Studio, a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). You can also use H2O LLM Studio with the command line interface (CLI) and specify the configuration file that contains all the experiment parameters. To finetune using H2O LLM Studio with CLI, activate the pipenv environment by running make shell. With H2O LLM Studio, training your large language model is easy and intuitive. First, upload your dataset and then start... -
14
Vespa
The open big data serving engine
.... Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which does this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information. -
15
ta4j
A Java library for technical analysis
Ta4j is an open-source Java library for technical analysis. It provides the basic components for the creation, evaluation, and execution of trading strategies. Ta4j is available on Maven Central. You can also download example code from the maven central repository. The wiki is the best place to start learning about ta4j. For more detailed questions, please use the issues tracker. We can calculate indicators over this bar series, in order to forecast the direction of prices through the study... -
16
Polynomials.jl
Polynomial manipulations in Julia
Basic arithmetic, integration, differentiation, evaluation, root finding, and fitting for univariate polynomials in Julia. -
17
Lmod
An Environment Module System based on Lua, Reads TCL Modules
Lmod is a program to manage the user environment under Unix: (Linux, Mac OS X, ...). It is a new implementation of environment modules. Lmod is a Lua-based module system that easily handles the MODULEPATH Hierarchical problem. Environment Modules provide a convenient way to dynamically change the users’ environment through modulefiles. This includes easily adding or removing directories to the PATH environment variable. Module files for Library packages provide environment variables that... -
18
Arthur Bench
Bench is a tool for evaluating LLMs for production use cases
Bench is a tool for evaluating LLMs for production use cases. Whether you are comparing different LLMs, considering different prompts, or testing generation hyperparameters like temperature and # tokens, Bench provides one touch point for all your LLM performance evaluation. -
19
solo-learn
Library of self-supervised methods for visual representation
A library of self-supervised methods for visual representation learning powered by Pytorch Lightning. A library of self-supervised methods for unsupervised visual representation learning powered by PyTorch Lightning. We aim at providing SOTA self-supervised methods in a comparable environment while, at the same time, implementing training tricks. The library is self-contained, but it is possible to use the models outside of solo-learn. -
20
WizardLM
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
WizardLM empowers large pre-trained language models to follow complex instructions. We adopt the automatic evaluation framework based on GPT-4 proposed by FastChat to assess the performance of chatbot models. Evol-Instruct is a novel method using LLMs instead of humans to automatically mass-produce open-domain instructions of various difficulty levels and skills range, to improve the performance of LLMs. You can easily embark on your own evolutionary journey with the Evol Script we provide. -
21
Common Expression Language
Fast, portable, non-Turing complete expression evaluation
The Common Expression Language (CEL) is a non-Turing complete language designed for simplicity, speed, safety, and portability. CEL's C-like syntax looks nearly identical to equivalent expressions in C++, Go, Java, and TypeScript. A CEL "program" is a single expression. The examples have been tagged as java, go, and typescript within the markdown to showcase the commonality of the syntax. CEL is ideal for lightweight expression evaluation when a fully sandboxed scripting language is too... -
22
Gorse Recommender System Engine
An open source recommender system service written in Go
An open-source recommender system service written in Go. Recommend items from Popular, latest, user-based, item-based and collaborative filtering. Search the best recommendation model automatically in the background. Support horizontal scaling in the recommendation stage after single node training. Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from... -
23
Django Rules
Awesome Django authorization, without the database
..., anything really. A good Django citizen. Seamless integration with Django views, templates and the Admin for testing for object-level permissions. Efficient and smart. No need to mess around with a database to figure out whether John really wrote that book. Simple. Dive in the code. You'll need 10 minutes to figure out how it works. Powerful. rules comes complete with advanced features, such as invocation context and storage for arbitrary data, skipping evaluation of predicates. -
24
OpenVINO Training Extensions
Trainable models and NN optimization tools
OpenVINO™ Training Extensions provide a convenient environment to train Deep Learning models and convert them using the OpenVINO™ toolkit for optimized inference. When ote_cli is installed in the virtual environment, you can use the ote command line interface to perform various actions for templates related to the chosen task type, such as running, training, evaluating, exporting, etc. ote train trains a model (a particular model template) on a dataset and saves results in two files. ote... -
25
OGB
Benchmark datasets, data loaders, and evaluators for graph machine
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader. The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development. We expect the benchmark datasets to evolve. OGB provides a diverse set of challenging and realistic benchmark datasets that...