Search Results for "automated essay scoring"
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Showing 23 open source projects for "automated essay scoring"
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Automated Interpretability
Code for Language models can explain neurons in language models paper
The automated-interpretability repository implements tools and pipelines for automatically generating, simulating, and scoring explanations of neuron (or latent feature) behavior in neural networks. Instead of relying purely on manual, ad hoc interpretability probing, this repo aims to scale interpretability by using algorithmic methods that produce candidate explanations and assess their quality. -
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Prometheus-Eval
Evaluate your LLM's response with Prometheus and GPT4
Prometheus-Eval is an open-source framework designed to evaluate the outputs of large language models using specialized evaluator models known as Prometheus. The project provides tools, datasets, and scripts that allow developers and researchers to measure the quality of LLM responses through automated scoring rather than relying solely on human evaluators. It implements an “LLM-as-a-judge” approach in which a dedicated language model analyzes instruction–response pairs and assigns scores or rankings based on predefined evaluation criteria. The repository includes a Python package that provides a straightforward interface for running evaluations and integrating them into model development pipelines. ... -
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ChainForge
An open-source visual programming environment
...The platform enables rapid experimentation by generating permutations of prompts and inputs, making it possible to test hundreds of variations in parallel and analyze performance trends more effectively. It also includes evaluation nodes that allow developers to define scoring functions, enabling automated benchmarking of outputs based on custom criteria such as accuracy, formatting, or relevance. -
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ASN
Command line ASN lookup, network recon, and traceroute tool
asn is a multifunctional network investigation and OSINT command line tool designed for analyzing Autonomous System (ASN) and IP-related data. It provides a comprehensive set of capabilities for inspecting network infrastructure, routing information, and security signals associated with IP addresses, hostnames, prefixes, and organizations. It aggregates data from multiple external services to present detailed information such as BGP statistics, RPKI validation status, IP reputation,... -
World class QA, 100% done-for-youMuukTest is a test automation service that combines our own proprietary, AI-powered software with expert QA services to help you achieve world class test automation at a fraction of the in-house costs.
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Cinephage
The AIO solution to your self hosted media gathering needs
...The platform boasts built-in support for multiple media acquisition paths (including torrent and Usenet indexers, streaming fallback mechanisms, and metadata discovery), smart quality and format scoring, and automated subtitle fetching, all while feeding results to compatible players and media servers. -
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SEO Machine
A specialized Claude Code workspace for creating long-form
SEO Machine is an AI-powered content production system built as a structured workspace for generating long-form, SEO-optimized blog content through automated workflows. It integrates research, writing, analysis, and optimization into a single pipeline, allowing users to produce high-quality articles tailored to search engine performance. The system uses specialized commands and agents to perform tasks such as keyword research, competitor analysis, content drafting, and optimization. It... -
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AI Marketing Skills
Open-source AI marketing skills for Claude Code
AI Marketing Skills is a comprehensive open-source framework designed to transform AI agents into fully operational marketing and sales systems by equipping them with structured, reusable “skills” that automate real business workflows. Instead of simple prompts, the project provides complete operational modules that include scripts, scoring systems, and decision-making logic, allowing AI tools like Claude Code to execute complex marketing tasks end-to-end. The system is organized into... -
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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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VLMEvalKit
Open-source evaluation toolkit of large multi-modality models (LMMs)
VLMEvalKit is an open-source evaluation toolkit designed for benchmarking large vision-language models that combine visual understanding with natural language reasoning. The toolkit provides a unified framework that allows researchers and developers to evaluate multimodal models across a wide range of datasets and standardized benchmarks with minimal setup. Instead of requiring complex data preparation pipelines or multiple repositories for each benchmark, the system enables evaluation... -
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LLM-Pruner
On the Structural Pruning of Large Language Models
LLM-Pruner is an open-source framework designed to compress large language models through structured pruning techniques while maintaining their general capabilities. Large language models often require enormous computational resources, making them expensive to deploy and inefficient for many practical applications. LLM-Pruner addresses this issue by identifying and removing non-essential components within transformer architectures, such as redundant attention heads or feed-forward... -
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Hallucination Leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations
Hallucination Leaderboard is an open research project that tracks and compares the tendency of large language models to produce hallucinated or inaccurate information when generating summaries. The project provides a standardized benchmark that evaluates different models using a dedicated hallucination detection system known as the Hallucination Evaluation Model. Each model is tested on document summarization tasks to measure how often generated responses introduce information that is not... -
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Ultimate AppLocker Bypass List
The most common techniques to bypass AppLocker
UltimateAppLockerByPassList is a community-curated repository that collects known techniques, patterns, and candidate binaries that have been observed or proposed to bypass Microsoft AppLocker and similar executable control policies. The project functions as a living catalog: entries list binaries, script hosts, and patterns that researchers have tested or reported in the wild, along with notes about context, platform constraints, and mitigation ideas. It is aimed primarily at defenders,... -
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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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Draskin Conflict
Helper app for the game Draskin Conflict
...The Draskin Conflict brings you to the world of Earth a hundred years after the devastating nuclear fallout that divided civilizations. The Draskin Conflict App makes the Draskin Conflict game simple and easy to setup and play. Acting as a token counter and including automated setup and scoring this app is a must have for anyone playing. -
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TaekWondo Score
Digital automated system for Taekwondo Scoring.
This is a server side app to Taekwondo scoring system. This can be run with client Android app of this. You can get the Client app from play store https://play.google.com/store/apps/details?id=crackntech.taekvondoscore.full -
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lua-resty-waf
High-performance WAF built on the OpenResty stack
lua-resty-waf is a web application firewall implemented in Lua for OpenResty/NGINX, designed to run inline at the edge with low overhead. It inspects requests and responses during NGINX phases, applying rule logic and anomaly scoring to detect patterns like SQL injection, cross-site scripting, and protocol abuse. Rules are organized into policies with configurable actions—block, log, or allow—and can leverage shared dictionaries for counters, rate limits, and caching decisions. Because it... -
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IHC Profiler
A plugin for the quantitative analysis of Immunohistochemistry samples
...To diminish this visual perception biasing, IHC profiler has been developed as a standard automated scoring tool. -x-x-x-x-x-x-x- Full Publication and Citation: Varghese F, Bukhari AB, Malhotra R, De A (2014) IHC Profiler: An Open Source Plugin for the Quantitative Evaluation and Automated Scoring of Immunohistochemistry Images of Human Tissue Samples. PLoS ONE 9(5): e96801. doi:10.1371/journal.pone.0096801 Link: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0096801 -x-x-x-x-x-x-x- Your feedback would be highly appreciated. ... -
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This is an automated essay grading system. It grades essays based on their relevance to the given prompt. It also detects any gibberish writing and wrong facts stated in the essay.
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This is an Automated Essay Grader such as the ones used in exams like GRE, GMAT and TOEFL. It grades essays based on relevance to the essay prompt, sentence structure and no. of correct factual statements, and assigns them a score in the range of 1-6.
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EGAL - Essay Grading and Analysis Logic. This is a system for automated grading of analytical writing style essays.
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