Search Results for "human" - Page 8
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Showing 346 open source projects for "human"
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Dodge gpt
Bypass Ai content for GPTZero and others making text Undetectable
*New Update* ╔════════════════════════════════════════════════════════════════╗ ║ DODGE V10 - STEALTH EDITION ║ The Only AI Text Humanizer That Defeats GPTZero ╚════════════════════════════════════════════════════════════════╝ █████████████████████████████████████████████████████████████████ █ █ █ 🛡️ CURRENT STATUS: GPTZERO RESISTANT - VERIFIED 2026 █ █ 📊 SUCCESS RATE: 60.7% AGAINST ALL DETECTORS █ █ 🔬 BASED ON: REAL HUMAN CORPUS ANALYSIS █ █ █ █████████████████████████████████████████████████████████████████ Dodge V10 isn't just another "synonym replacer" or "typo adder". It is a sophisticated neural text transformation engine that rewrites content to match the EXACT statistical fingerprint of human writing. -----100% Free----- -
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AudioBC
Offline desktop app to convert EPUB to MP3 using Kokoro-82M neural TTS
...Unlike most Text-to-Speech (TTS) tools that require expensive cloud API subscriptions or an active internet connection, AudioBC runs entirely on your local machine. Powered by the state-of-the-art Kokoro-82M neural engine, AudioBC produces natural, human-like speech that rivals premium cloud services. It is built with a focus on privacy and simplicity, offering a streamlined three-step workflow: Extract, Edit, and Convert. Key Features: Neural Quality TTS: Uses the compact yet powerful Kokoro-82M model for high-fidelity, expressive voice synthesis. Privacy-First & Offline: After a one-time initial model download, all processing happens on your CPU. ... -
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Code_TYMPAN
Open source software calculating industrial noise in the environment
Code_TYMPAN™ is an open source software for calculating industrial noise in the environment. It allows dealing with 3D realistic geometries and has a convenient Human Machine Interface to help engineers to build 3D models and to achieve analysis needed in environmental noise studies. Code_TYMPAN™ allows developing your own calculation method from basic components and geometrical solvers. It includes a solver based on ISO 9613 extended to industrial applications. In 4.2.x version, a Python API allows advanced users to build and solve models programmatically. ... -
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The auditory modeling toolbox (AMT) is a Matlab/Octave toolbox for the development and application of auditory computational models. Over 50 auditory models implemented in Matlab, Octave, C, C++, and Python can be run from Matlab and Octave, on Windows and Linux. The AMT provides a well-structured in-code documentation, includes auditory data required to run the models. It integrates functionality to reproduce the model predictions. Model implementations can be evaluated in two stages,...
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GLM-4-32B-0414
Open Multilingual Multimodal Chat LMs
...The model is pre-trained on 15 trillion tokens of high-quality data, including substantial synthetic reasoning datasets, and further enhanced with reinforcement learning and human preference alignment for improved instruction-following and function calling. Variants like GLM-Z1-32B-0414 offer deep reasoning and advanced mathematical problem-solving, while GLM-Z1-Rumination-32B-0414 specializes in long-form, complex research-style writing using scaled reinforcement learning and external search tools. Despite its large capacity, the model supports user-friendly local deployment and efficient fine-tuning with available scripts. -
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Koxinga
Like board game Jamaica
Minimum resolution is 1600x900. Koxinga is the game similar with board game Jamaica for human vs 5 computer player only. English game rule: https://sourceforge.net/projects/koxinga/files/Koxinga_English_User_Guide.pdf/download Chinese game rule: https://sourceforge.net/projects/koxinga/files/koxinga_chinese_manual.pdf/download 1) Q: Why won’t my piece move? A: You’re probably at a fork. On the map, look for two faint green arrows. -
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GramAddict
Completely free and open-source human-like Instagram bot
GramAddict is a fully open-source Instagram automation bot designed to simulate human-like interaction on Android devices using UI automation rather than direct API calls. It operates through ADB and UIAutomator2, meaning it interacts with the Instagram app as if it were a real user, reducing the risk of detection compared to API-based bots. The tool can automate a wide range of actions such as liking posts, following users, sending messages, and browsing content, all while introducing randomized delays and behaviors to mimic human activity. ... -
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SPELL
Satellite Procedure Execution Language and Library
SPELL is a framework composed of an integrated environment for the development and execution of satellite automated procedures. It is capable of running any procedure via different Ground Control System and for any spacecraft. The goal of SPELL is to have a powerful and readable automation language, which can be shared across Satellite Operators and Satellite Manufacturers. If we all use the same language, the cost and the risk associated with automated procedures will go down! SPELL... -
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Whakerexa
A minimalist and lightweight web kit for accessible contents
...It can be combined with the use of WhakerPy, an open source library to create dynamic HTML content: <https://whakerpy.sf.net>. Features: - Lightweight and semantic - Light or dark mode - Normal or high-Contrast mode - Easy use and customization - Human-readable: could be extended or composed for your specific needs - No extr -
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FluidPatcher
A performance-oriented patch interface for FluidSynth
...A patch is a collection of settings such as soundfont presets for each MIDI channel, control-change/sysex messages to send when the patch is selected, and midi router or effects settings. Groups of patches are stored in banks, which are saved as human-readable and -editable YAML files. This allows a musician to easily create complex combinations of synthesizer settings ahead of time and switch between them on the fly during a performance. -
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Tokenized Text Aligner
Aligns tokens in two versions of a text with differing tokenization.
...It is intended for use in the preparation of annotated linguistic corpora, where differences in tokenization may arise (i) following corrections or modifications to the source text or (ii) through the creation of different layers of annotation (part-of-speech, treebank) requiring different tokenization. In its default implementation, it produces a human-readable CSV table associating tokens in text A with tokens in text B, and can also inject token-level annotation from text B to text A. The Aligner class on which the default implementation is based can be incorporated into more complex workflows. -
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Calendar Calc v2.0
Date utilities for any calendar task
...With an advanced calculation engine and a fluid cross-platform interface, the app enables you to determine with surgical precision the exact number of years, months, weeks, and days between any two dates, eliminating the risk of human error in manual calculations. Beyond calculating time differences, the app features a versatile date projection function that allows you to add or subtract specific time periods to immediately identify future deadlines or past events, an indispensable tool for project management, legal term calculations, or retireme -
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StyleTTS 2
Towards Human-Level Text-to-Speech through Style Diffusion
StyleTTS2 is a state-of-the-art text-to-speech system that aims for human-level naturalness by combining style diffusion, adversarial training, and large speech language models. It extends the original StyleTTS idea by introducing a style diffusion model that can sample rich, realistic speaking styles conditioned on reference speech, allowing highly expressive and diverse prosody. The architecture uses a two-stage training process and leverages an auxiliary speech language model to guide generation toward more natural and coherent utterances. ... -
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vahatraker
a live MIDI sequencer for JACK
...The GUI has similar dependencies as gnome-calculator and tracker paradigm was chosen to allow for rhythmic gymnastics otherwise hard to convey. Low level stuff was done in C and wrapped in Python. Human interfacing part of contraption employs GTK through gobject introspection and was also contrived in the language we shall no longer spam abo -
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GitGot
Semi-automated tool for discovering exposed secrets in GitHub data
GitGot is an open source security tool designed to help users quickly search large amounts of public data on GitHub to identify potentially exposed secrets. It operates as a semi-automated, feedback-driven system that combines automated search capabilities with human guidance to refine results during investigation. GitGot leverages the GitHub Search API to perform queries across repositories, files, and gists, allowing security researchers and penetration testers to discover sensitive information that may have been unintentionally exposed in public code. During a search session, users review results and provide feedback that allows GitGot to filter out irrelevant or repetitive findings. ... -
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Autodistill
Images to inference with no labeling
Autodistill uses big, slower foundation models to train small, faster supervised models. Using autodistill, you can go from unlabeled images to inference on a custom model running at the edge with no human intervention in between. You can use Autodistill on your own hardware, or use the Roboflow hosted version of Autodistill to label images in the cloud. -
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BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring
...Rather than focusing on a single metric or domain, it aggregates many hand-authored tasks that test reasoning, commonsense, math, linguistics, ethics, and creativity. Tasks are intentionally heterogeneous: some are multiple-choice with exact scoring, others are free-form generation judged by model-based or human evaluation. The suite provides a common JSON task format and an evaluation harness so research groups can contribute new tasks and reproduce results consistently. It emphasizes robustness analysis—looking at scale trends, calibration, and areas where models systematically fail—to guide model development beyond raw accuracy. BIG-bench is as much a community process as a dataset, encouraging open sharing of tasks and findings to keep evaluations fresh and comprehensive. -
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GPT-2 Output Dataset
Dataset of GPT-2 outputs for research in detection, biases, and more
...It contains 250,000 samples of GPT-2 outputs, generated with different sampling strategies such as top-k truncation, to highlight the diversity and quality of model completions. The dataset also includes corresponding human-written text for comparison, enabling researchers to explore methods for distinguishing machine-generated content from human-authored text. The repository provides scripts and metadata for working with the dataset, with the goal of supporting research in areas like detection, evaluation of text coherence, and analysis of generative models. ... -
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AI-Aimbot
CS2, Valorant, Fortnite, APEX, every game
AI-Aimbot is a computer vision project that demonstrates how artificial intelligence can be used to automatically identify and target opponents in video games. The system uses an object detection model based on the YOLOv5 architecture to detect human-shaped characters in gameplay screenshots or video frames. Once a target is identified, the program automatically adjusts the player’s aim toward the detected target, effectively automating the aiming process in first-person shooter games. The project emphasizes that it is intended for educational purposes to illustrate potential vulnerabilities in game design and anti-cheat systems. ... -
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Dominate
Dominate is a Python library for creating and manipulating HTML docs
...Most of the attributes are a direct copy from the HTML spec with a few variations. Through the use of the += operator and the .add() method you can easily create more advanced structures. By default, render() tries to make all output human readable, with one HTML element per line and two spaces of indentation. -
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AIMi AI Aimbot
AIMi its an AI aimbot, it work by real-time object detection
AIMi is a Python-based AI aim-assist experiment that uses real-time object detection to identify human-like shapes in game footage. It is built around neural network detection and OpenCV processing rather than direct modification of game files. The project presents itself as a beta implementation, with current behavior depending heavily on processor performance, model accuracy, and screen conditions. It includes a simple object-detector interface so users can see how the system recognizes targets during testing. ... -
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PyMancala
PyMancala: A Python API for the Mancala game
PyMancala implements rules of the Mancala game, also called Awale. It can be played in different modes: human-human, human-computer or computer-computer. Different variants of the rules are implemented. Several 'basic' strategies are proposed for the human to get an advice and for the computer. Many others can be added and compared to the already existing ones. -
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Summarize from Feedback
Code for "Learning to summarize from human feedback"
The summarize-from-feedback repository implements the methods from the paper “Learning to Summarize from Human Feedback”. Its purpose is to train a summarization model that better aligns with human preferences by first collecting human feedback (comparisons between summaries) to train a reward model, and then fine-tuning a policy (summarizer) to maximize that learned reward. The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling component, and the reinforcement learning (or preference-based fine-tuning) phase. ... -
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Petals
Run 100B+ language models at home, BitTorrent-style
...Beyond classic language model APIs — you can employ any fine-tuning and sampling methods, execute custom paths through the model, or see its hidden states. You get the comforts of an API with the flexibility of PyTorch. You can also host BLOOMZ, a version of BLOOM fine-tuned to follow human instructions in the zero-shot regime — just replace bloom-petals with bloomz-petals. Petals runs large language models like BLOOM-176B collaboratively — you load a small part of the model, then team up with people serving the other parts to run inference or fine-tuning. -
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ControlNet
Let us control diffusion models
...Rather than training from scratch, ControlNet “locks” the weights of a pre-trained diffusion model and introduces a parallel trainable branch that learns additional conditions—like edges, depth maps, segmentation, human pose, scribbles, or other guidance signals. This allows the system to control where and how the model should focus during generation, enabling users to steer layout, structure, and content more precisely than prompt text alone. The project includes many trained model variants that accept different types of conditioning (e.g., canny edge input, normal maps, skeletal pose) and produce improved fidelity in stable diffusion outputs. ...