Search Results for "scoring"
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Showing 20 open source projects for "scoring"
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X For You Feed Algorithm
Algorithm powering the For You feed on X
X For You Feed Algorithm is the open-sourced core recommendation system that powers the For You feed on X (the social network formerly known as Twitter), and it represents one of the first times a major social platform has published production-level ranking code for public review and experimentation. The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and ultimately ranks posts to show what appears in a user’s feed. At its heart, the system uses a transformer-based model adapted from xAI’s Grok architecture to predict probabilities for various user actions (such as likes, replies, reposts, clicks, and negative signals), then combines those into a weighted final score that drives ranking. -
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Job Recommend
The basics of building a job recommendation workflow
...You can study how to transform raw text into features and how to evaluate simple heuristics or baseline models. The code encourages experimentation, inviting you to swap scoring rules, adjust weights, or plug in alternative representations. It serves as a starting point for understanding recommendation pipelines before moving to production-grade systems. -
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Output
TypeScript framework for building AI workflows and agents
...It eliminates reliance on fragmented SaaS tools by providing all necessary components locally, ensuring better transparency and control over data and processes. Output includes built-in evaluation systems, such as LLM-as-a-judge scoring, and integrates workflow orchestration tools like Temporal to handle retries, parallel execution, and state management. It also supports multiple model providers through a unified API. -
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CTFd
CTFs as you need them
...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-compatible backend. Limit challenge attempts & hide challenges. Automatic bruteforce protection. Individual and Team-based competitions. ... -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
...It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity, coherence, or task-specific metrics), and visualization helpers to make comparisons interpretable. This approach is useful for model selection, prompt engineering, and benchmarking new checkpoints against baseline models under reproducible conditions. By turning ad-hoc tests into tracked experiments, StabilityMatrix reduces bias, surfaces subtle regressions, and accelerates iteration when tuning generative systems. -
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reCAPTCHA
PHP client library for reCAPTCHA, a free service
reCAPTCHA is Google’s human-verification system that helps websites distinguish real users from automated abuse while keeping friction low for legitimate traffic. The project bundles client and server examples, language-specific helpers, and documentation patterns for integrating reCAPTCHA v2 and v3 flows into web forms and APIs. Its design philosophy is “risk-based”: most users pass silently based on behavioral signals, while higher-risk interactions may be challenged with an image,... -
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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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bleve
A modern text indexing library for go
...By indexing your data with bleve you gain the ability to compose query types such as Term, Phrase, Match, Match Phrase, Prefix, Conjunction, Disjunction, Boolean, Numeric and Date Ranges, as well as Query String. Industry standard tf-idf scoring with query time boosting. Includes support for highlighting matching text within document fragments. -
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ThinkReview
AI-powered code reviews for GitLab & Azure DevOps. Zero setup. Powered
I Copilot for Gitlab and Azure DevOps Merge requests (MRs) and Pull Requests (PRs) in your browser. The extension Summarises merge requests , provided suggestions and find potential security issues , provide smart questions to dive deeper and chat with your pull requests The extension works out of the box without any complex setup - Supports custom Self hosted Gitlab as well as gitlab.com and gitlab enterprise Enhance your GitLab MRs and Azure Devops PRsworkflows with automatic... -
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genshin_artifact
Genshin Impact artifacts assessment, artifacts auto combination
...The system allows users to adjust parameters such as buffs, team composition, and character stats, providing detailed breakdowns of how different configurations impact performance. It also includes advanced analysis tools like stat efficiency curves, artifact scoring systems, and potential evaluation metrics, giving users a deeper understanding of gear optimization. The project integrates a database of weapons, artifacts, and character data, enabling comprehensive simulations and comparisons. -
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GitHub Rater
Check your GitHub rating, view results and enhance your quality
GitHub Rater is a web application that analyzes a GitHub user’s public profile and computes a composite “rating” or score based on various activity indicators fetched from the GitHub API. It’s designed to help developers assess and improve the quality and completeness of their GitHub presence by highlighting strengths and weaknesses such as follower count, repository descriptions, star counts, and bio information. Users can search for any public GitHub user and receive a breakdown of scores... -
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Selectize
Hybrid of a textbox and <select> box for tagging and contact lists
...Interface & make addons like a boss with the plugin system. Fully documented on GitHub & inline. Want to search an item's title and description? No problem. You can even override the scoring function used for sorting if you want to get crazy. Order matters sometimes. Use the and arrow keys to move between items. -
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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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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple... -
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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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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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Aplikasi Digital Scoring Pencak Silat Perguruan Tapak Suci Putera Muhammadiyah
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TextTeaser
TextTeaser is an automatic summarization algorithm
...The algorithm uses features such as sentence length, keyword frequency, and position within the document to determine which sentences are most relevant. By combining these features with a simple scoring mechanism, it produces summaries that are both readable and informative. Originally inspired by research and earlier implementations, textteaser provides a lightweight solution for summarization without requiring heavy machine learning models. It is particularly useful for developers, researchers, or content platforms seeking a simple, rule-based approach to article summarization. -
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flexselect: a jQuery plugin
jQuery plugin that turns regular select boxes into Quicksilver
FlexSelect is a jQuery plugin that turns select boxes into flex-matching incremental-finding controls. Flex matching a few keystrokes against longer strings is a boon in productivity for typists. Applications like Quicksilver, LaunchBar, and Launchy have made this method of keyboard entry a popular one. It's time to bring this same functionality to web controls. FlexSelect does that for select boxes. -
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lastest
AI-supported visual verification and tests you can actually trust.
Lastest.cloud is a free, open-source verification of development, self-hosted visual regression and end-to-end testing platform for web applications. An AI agent records you clicking through your running app and generates Playwright tests with multi-selector fallback. Replays are deterministic and token-free, so your CI/CD bill doesn't scale with your test suite. Lastest ships three diff engines side-by-side — pixel (pixelmatch), structural (SSIM), and perceptual (Butteraugli) — so...
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