Search Results for "binary options software"
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20 projects for "binary options software" with 2 filters applied:
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shimmy
Python-free Rust inference server
The shimmy project is a lightweight local inference server designed to run large language models with minimal overhead. Written primarily in Rust, the tool provides a small standalone binary that exposes an API compatible with the OpenAI interface, allowing existing applications to interact with local models without significant code changes. This compatibility enables developers to replace remote AI services with locally hosted models while keeping their existing software architecture intact. Shimmy focuses on performance and simplicity, using efficient runtime components to minimize memory usage and startup time compared to heavier inference frameworks. ... -
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Midscene
Vision-based AI framework for cross-platform UI automation tasks
...Instead of relying on traditional selectors, DOM structures, or accessibility attributes, it uses a vision-first approach where screenshots are analyzed by visual-language models to identify interface elements and perform actions. It allows developers to automate interactions on web applications, desktop software, and mobile devices without needing platform-specific automation logic. Developers can describe tasks such as clicking buttons, filling forms, or extracting information, and the system interprets these commands to interact with the interface accordingly. Midscene.js includes SDKs, scripting options, and integration capabilities that allow automation workflows to be written in JavaScript, TypeScript, or YAML-based scripts. ... -
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QMD
mini cli search engine for your docs, knowledge bases, etc.
QMD is a powerful and lightweight command-line tool that acts as an on-device search engine for your personal knowledge base, allowing you to index and search files like Markdown notes, meeting transcripts, technical documentation, and other text collections without depending on cloud services. Designed to keep all search activity local, it combines classic full-text search techniques with modern semantic features such as vector similarity and hybrid ranking so that queries return not just... -
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PowerPoint-ist
Web presentation editor replicating many PowerPoint features online
...It also includes tools for slide organization, element alignment, animation, and theme management to streamline presentation design workflows. In addition to editing capabilities, it provides export options for presentation files and other formats, although compatibility with traditional presentation formats. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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LLM Datasets
Curated list of datasets and tools for post-training
LLM Datasets curates and standardizes datasets commonly used to train and fine-tune large language models, reducing the overhead of hunting down sources and normalizing formats. The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for... -
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llm-abliteration
Make abliterated models with transformers, easy and fast
...Built with Hugging Face Transformers, it identifies refusal-related activation directions by comparing responses to harmful and harmless prompts. Researchers can analyze these directions across model layers and selectively remove their influence from model weights. The software supports dense and selected mixture-of-experts architectures, including Llama, Qwen, Mistral, and Gemma models. Batch inference and quantized model loading help reduce processing requirements. Sharded weight modifications allow larger models to be processed with limited memory. Advanced options include norm-preserving transformations, directional projection, and configurable layer strategies. ... -
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AI Commits
A CLI that writes your git commit messages for you with AI
AI Commits is a command-line tool that writes your git commit messages for you using an AI model. It works by running git diff to gather your staged code changes, sending that diff to an LLM (originally GPT-3, now configurable), and receiving back a concise, human-readable commit message. The tool is designed to integrate cleanly into a developer’s workflow so that generating a descriptive commit message becomes a single command rather than a chore. It supports configuration via environment... -
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AingDesk
AI assistant that supports knowledge bases, model APIs
AingDesk is an open-source desktop and server-based AI assistant platform designed to provide a user-friendly environment for interacting with language models and building AI-powered tools. The software enables users to run local AI models or connect to external model APIs through a unified interface. One of its primary goals is to simplify the process of building knowledge-based assistants by allowing users to create local knowledge bases that the AI can search and analyze. The system... -
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Granite Code Models
A Family of Open Foundation Models for Code Intelligence
...The repository introduces the model lineup, intended uses, and evaluation highlights, and it complements IBM’s broader Granite initiative spanning multiple modalities. IBM’s research blog details the motivation for opening these models and points developers to downloads, papers, and hosting options. Together, the materials position Granite Code as enterprise-friendly, permissively licensed models for practical software engineering assistance. They slot into the larger Granite ecosystem that includes language and time-series models, community cookbooks, and production guidance. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Temporal Inference Engine
A real time inference engine for temporal logical specifications
A real time inference engine for temporal logical specifications, which is able to acquire, process and generate any binary or real signal through POSIX IPC, files or UNIX sockets. Specifications of signals and dynamic systems are represented as special graphs and executed in real time, with a predictable sampling time of few milliseconds. Real time signal processing, dynamic system control, state machine modeling and logical property verification are some fields of application of this software. ... -
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H9A
H9A counts how many times a digit appears in any range, instantly.
H9A is an installable Python package that counts how many times a given digit appears in a range of numbers (by default: the digit 9 between 1 and 100). It provides both a h9a command-line tool and an importable library, and it prints each step of the calculation — the per-place counts and the combined total — as styled, colorized output. It is built with rich for console formatting, pyfiglet for an ASCII-art banner, and Pillow for optional terminal-style screenshots. -
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fishdraw
procedurally generated fish drawings
fishdraw is an open-source JavaScript program that creates procedurally generated illustrations of fish using mathematical drawing techniques. It produces distinctive aquatic creatures with varied shapes, anatomical details, and decorative patterns. The software generates drawings as collections of polylines, making them suitable for digital illustration and pen plotters. Users can export artwork as SVG, JSON, or CSV files. It also supports animated SVG output using SMIL to reproduce the drawing process. Command-line options allow users to specify a generation seed, output format, and animation speed. ... -
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Command Line Parser GetPot
Tool to parse the command line and configuration files.
Powerful command line and configuration file parsing for C++, Python, Ruby and Java (others to come). This tool provides many features, such as separate treatment for options, variables, and flags, unrecognized object detection, prefixes and much more. -
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Human AI Net
a Human and Artificial Intelligence Network
We are going to teach eachother how to build AI and new kinds of game objects in this network using intuitive dragAndDrop. Its going to be a space for experimenting with fun and useful tools in new ways. Version 0.8.0 has some advanced components that will be working soon. The plan is a massively multiplayer space where we design, evolve, and play with game objects and do AI research together which controls those game objects along with directly playing the games. The main data format is,... -
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer... -
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...If you are using IJBlob in a scientific publication, please cite: Wagner, T and Lipinski, H 2013. IJBlob: An ImageJ Library for Connected Component Analysis and Shape Analysis. Journal of Open Research Software 1(1):e6, DOI: http://dx.doi.org/10.5334/jors.ae
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This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.
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myBeasties is a highly flexible evolutionary programming module. It is designed to be extendable and customisable for maximum use by the discerning Perl hacker. Phenotypes can be anything: simple binary strings, or whole classes of objects and methods.
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Jev-Omni
12B multimodal classifier for calibrated, probability-based decisions
Jev-Omni is an open-weight multimodal decision classification model designed to evaluate text, images, audio, and video through structured questions and predefined answer options. Built on Google's Gemma 4 12B IT architecture and fine-tuned on 30,000 questions, it returns calibrated probabilities for each possible answer rather than generating natural-language explanations. The model supports three decision formats: Noul for binary yes/no questions, Choice for multiclass selection, and Score for probability-based evaluation. ... -
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Quyet-1.0-Large
31B decision model for classification and calibrated probabilities
...Unlike conventional generative models, Quyet evaluates a supplied state, such as text, JSON, or conversation history, and answers multiple typed questions using predefined options. It supports three decision formats: Choice for categorical classification, Score for ordered scales, and Noul for binary judgments. The model calculates probabilities from next-token option predictions and applies calibrated temperatures to improve confidence estimates. It primarily supports English and is additionally tuned for Vietnamese. ...
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