Search Results for "combinations" - Page 2
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Showing 219 open source projects for "combinations"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Bank-Vaults
CLI tool to init, unseal and configure Vault
Bank Vaults is a thick, tricky, shifty right with a fast and intense tube for experienced surfers only, located on Mentawai. Think heavy steel doors, secret unlocking combinations and burly guards with smack-down attitude. Watch out for clean-up sets. Bank-Vaults provides tools that make using and operating Hashicorp Vault easier. It's a wrapper for the official Vault client with automatic token renewal and built-in Kubernetes support, dynamic database credential provider for Golang database/sql based clients. ... -
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Mixed-effects models in Julia
A Julia package for fitting (statistical) mixed-effects models
This package defines linear mixed models (LinearMixedModel) and generalized linear mixed models (GeneralizedLinearMixedModel). Users can use the abstraction for statistical model API to build, fit (fit/fit!), and query the fitted models. A mixed-effects model is a statistical model for a response variable as a function of one or more covariates. For a categorical covariate the coefficients associated with the levels of the covariate are sometimes called effects, as in "the effect of using... -
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Ludwig AI
Low-code framework for building custom LLMs, neural networks
...Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. ... -
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gganimate
A Grammar of Animated Graphics
...As this is a discrete split (gear being best described as an ordered factor) we use transition_states and provide a relative length to use for transition and state view. As not all combinations of data are present there are states missing a box. We define that when a box appears it should fade into view, whereas it should shrink away when it disappears. Lastly, we decide to use a sinusoidal easing for all our aesthetics (here, only y is changing) gganimate is available on CRAN and can be installed with install.packages('gganimate'). -
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NExT-GPT
Code and models for ICML 2024 paper, NExT-GPT
NExT-GPT is an open-source research framework that implements an advanced multimodal large language model capable of understanding and generating content across multiple modalities. Unlike traditional models that primarily handle text, NExT-GPT supports input and output combinations involving text, images, video, and audio in a unified architecture. The system connects a large language model with multimodal encoders and diffusion-based decoders so it can interpret information from different sensory formats and generate responses in different media types. This architecture allows the model to convert between modalities, such as generating images from text descriptions or producing audio or video outputs based on textual prompts. ... -
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HunyuanWorld-Mirror
Fast and Universal 3D reconstruction model for versatile tasks
HunyuanWorld-Mirror focuses on fast, universal 3D reconstruction that can ingest varied inputs and produce multiple kinds of 3D outputs. The model accepts combinations of images, camera intrinsics and poses, or even depth cues, then reconstructs consistent 3D geometry suitable for downstream rendering or editing. The pipeline emphasizes both speed and flexibility so creators can go from casual captures to assets without elaborate capture rigs. Outputs can include point clouds, estimated camera parameters, and other 3D representations that plug into typical graphics workflows. ... -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
...We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations. -
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FastKoko
Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model
FastKoko is a self-hosted text-to-speech server built around the Kokoro-82M model and exposed through a FastAPI backend. It is designed to be easy to deploy via Docker, with separate CPU and GPU images so that users can choose between pure CPU inference and NVIDIA GPU acceleration. The project exposes an OpenAI-compatible speech endpoint, which means existing code that talks to the OpenAI audio API can often be pointed at a Kokoro-FastAPI instance with minimal changes. It supports multiple... -
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Map-Anything
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
...Instead of stitching together many task-specific models, it uses a single architecture that supports a wide range of 3D tasks—multi-image structure-from-motion, multi-view stereo, monocular metric depth, registration, depth completion, and more. The model flexibly accepts different input combinations (images, intrinsics, poses, sparse or dense depth) and produces a rich set of outputs including per-pixel 3D points, camera intrinsics, camera poses, ray directions, confidence maps, and validity masks. Its inference path is fully feed-forward with optional mixed-precision and memory-efficient modes, making it practical to scale to long image sequences while keeping latency predictable. -
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Arduino FOC
Arduino FOC for BLDC and Stepper motors
We live in very exciting times 😃! BLDC motors are entering the hobby community more and more and many great projects have already emerged leveraging their far superior dynamics and power capabilities. BLDC motors have numerous advantages over regular DC motors but they have one big disadvantage, the complexity of control. Even though it has become relatively easy to design and manufacture PCBs and create our own hardware solutions for driving BLDC motors the proper low-cost solutions are yet... -
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AV1 AVIF
AV1 Image File Format Specification - ISO-BMFF/HEIF derivative
...The project outlines the syntax and semantics required for AVIF compliance, including support for multiple image profiles, color depths, chroma subsampling modes, HDR/WCG, alpha channels, animation/image sequences, and various color-space/bit-depth combinations — making AVIF a versatile, modern image format suitable for both simple photos and advanced imagery needing high fidelity. The specification ensures interoperability across encoders and decoders, providing guidelines so that images created by any compliant AVIF encoder can be reliably decoded by compliant decoders. As adoption grows, AV1 AVIF plays a crucial role in promoting a royalty-free, open, high-efficiency image standard that competes with older formats such as JPEG and newer proprietary ones. -
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Krixik
Documentation for the Krixik Python client
...However, infrastructure for small AI tends to be underwhelming, so building with specialized AI can be difficult, time-consuming, and even expensive. Iterating with different models, and particularly with different combinations of these models, can thus be rendered unfeasible. -
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SALMONN family
A suite of advanced multi-modal LLMs
SALMONN is a family of advanced multi-modal large language models (LLMs) developed by ByteDance — designed to handle and integrate multiple data modalities (e.g. text, audio, video) rather than just plain text. The repository bundles different branches targeting specialized tasks (e.g. video-SALMONN, speech-quality assessment, general multimodal tasks), suggesting that the project is modular and extensible across domains. SALMONN aims to push the frontier of multi-modal AI by allowing models... -
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Optopsy
A nimble options backtesting library for Python
...Optopsy is a small simple library that offloads the heavy work of backtesting option strategies, the API is designed to be simple and easy to implement into your regular Panda's data analysis workflow. As such, we just need to call the long_calls() function to have Optopsy generate all combinations of a simple long call strategy for the specified time period and return a DataFrame. Here we also use Panda's round() function afterwards to return statistics within two decimal places. -
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stradella
Stradella accordion interactive chords handbook
An accordionist utility to explore and annotate left hand (stradella) chord combinations -
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Pen Possible
scans a given textual string in 146 pen on paper possible combinations
Application scans a given textual string in 146 pen on paper possible combinations- horizontal, vertical, diagonal, reverse, join top, join bottom, groups(2/3/4..), edges & in quadrant dimensions of your choice -
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ScrollingArray
A Java Utility Class To Create Combinations of Existing Arrays.
Use this class to create combinations of sub-arrays of arrays and ArrayLists. A handy utility for creating and testing purposes.. -
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Disposition
Program to generate permutations and combinations
C Library designed to generate in sequence permutations or combinations (possible orderings or subsets) of objects, with or without repetition. To demonstrate the use of the library, a command-line program (disp) and a GTK graphical version (GDisp) are provided too, useful to teach combinatorics. -
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MAF
Bash Framework to combine many preprocessing and alignment tools
...The presented multi-alignment framework (MAF) should give researchers a simple sequence alignment platform as a functional template, flexible enough to adjust all steps but also comprehensive enough to join many different tools and custom parameter combinations if in-depth analysis is necessary or advised in e.g. low read rate situations. The platform enables researcher to apply multiple sequence aligners and further pre- and postprocessing tools in flexible combinations to analyze the subtle to remarkable differences between different sequence alignment and processing algorithms applied to the same data basis. ... -
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Spreadsheet Template for Structural Engineering (FEA Analysis for beams, trusses, 2D-frames). It makes possible to create your own parametric models.Templates for engineering calculation (fatigue, concrete plates, etc)
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HEXA Structures
HEXA Structures is an application for structural engineering
HEXA Structures is an open-source desktop application for structural modeling and analysis. Built with PySide6, PyVista and Python, it lets engineers create nodes, beams, supports, materials, sections, loads and load combinations through a graphical interface. PyNite is the default solver, with optional OpenSeesPy support for advanced workflows. The project includes Eurocode-oriented data such as EC2 concrete materials, EC3 steel grades, European steel profiles and French National Annex constants. It also provides interactive 3D visualization, result extraction, 2D internal force diagrams and SQLite project save/load. ... -
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Advanced Yacht
Yacht with nine-sided dices.
A modification of the game Yacht with the rules of 1938 year. The goal is to score the maximum number of points by throwing five dice to obtain certain combinations. Player can roll up to three times per turn, either all dice or selected dice. The game consists of eighteen rounds. After each round, player can choose which scoring category to use, but you cannot choose the same category twice. Some categories are fixed, while others depend on the value of the dice. -
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GnuCOBOL
A free COBOL compiler
...Build COBOL programs on various platforms, including GNU/Linux, Unix, Mac OS X, and Microsoft Windows. GnuCOBOL has also been built on HP/UX, z/OS, SPARC, RS6000, AS/400, along with other combinations of machines and operating systems. Copyright 2001-2024 Free Software Foundation, Inc. The cobc compiler is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the FSF; either version 3, or (at your option) any later version. The libcob run time support source tree is licensed under the GNU LGPL. -
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Phase1
Decoding Image Steganography: Finding images hidden in the last bits o
The Phase1 program decodes hidden messages (text or images) embedded within a source image assuming common steganography techniques. It supports decoding text and images by extracting least significant bits (LSBs) from various combinations of pixel channels. -
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Realism Invictus
Realism Invictus mod for Civilization IV
Realism Invictus is a comprehensive mod for Civilization IV with 20 years of development.
