Search Results for "ogre-v1"
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Showing 53 open source projects for "ogre-v1"
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IQuest-Coder-V1 Model Family
New family of code large language models (LLMs)
IQuest-Coder-V1 is a cutting-edge family of open-source large language models specifically engineered for code generation, deep code understanding, and autonomous software engineering tasks. These models range from tens of billions to smaller footprints and are trained on a novel code-flow multi-stage paradigm that captures how real software evolves over time — not just static code snapshots — giving them a deeper semantic understanding of programming logic. -
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Mihomo
A simple Python Pydantic model for Honkai
Mihomo is a Python client library leveraging Pydantic to model parsed Honkai: Star Rail user data from the Mihomo public API. It provides structured types, type hints, and convenience methods to fetch and transform player profiles, daily stats, and character details efficiently. -
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python-bibtexparser v2
Bibtex parser for Python 3
Welcome to python-bibtexparser, a parser for .bib files with a long history and wide adaption. Bibtexparser is available in two versions: V1 and V2. For new projects, we recommend using v2 which, in the long run, will provide an overall more robust and faster experience. For now, however, note that v2 is an early beta, and does not contain all features of v1. -
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OpenAI-Compatible Edge-TTS API
Free, high-quality text-to-speech API endpoint to replace OpenAI
OpenAI-Compatible Edge-TTS API is a local, OpenAI-compatible text-to-speech API that uses edge-tts—Microsoft Edge’s online TTS service—as the backend. The project emulates the /v1/audio/speech endpoint used by OpenAI, so any client that can talk to the OpenAI TTS API can be redirected to this service with minimal changes. It exposes parameters for input text, voice selection, audio format, and playback speed, mirroring the OpenAI interface while mapping popular OpenAI voice names to equivalent Edge voices. Because it relies on Edge’s TTS, the audio generation itself is free, and the project essentially acts as a smart proxy that handles formatting and streaming. ... -
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MoCo (Momentum Contrast)
Self-supervised visual learning using momentum contrast in PyTorch
...The core idea of MoCo is to maintain a dynamic dictionary with a momentum-updated encoder, allowing efficient contrastive learning across large batches. The repository includes implementations for both MoCo v1 and MoCo v2, the latter improving training stability and performance through architectural and augmentation enhancements. Training is optimized for distributed multi-GPU environments, using DistributedDataParallel for speed and simplicity. -
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Pydantic-Core
Core validation logic for pydantic written in rust
pydantic-core is the Rust-based core validation logic for Pydantic, a widely used data validation library in Python. It offers significant performance improvements over its predecessor, enabling faster and more efficient data parsing and validation. -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations, molecular dynamics, spin-state energetics, and surface catalysis workflows with the same pretrained network by switching a task flag. ... -
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Video File Renamer v1.1
Clean and batch rename video files with custom phrase removal.
Video File Renamer is a lightweight Windows desktop application that automatically cleans and renames video file names by removing unwanted words, phrases, symbols, brackets, dots, underscores, and clutter from filenames. Users can create and save custom removal phrases that persist between app launches, select folders containing video files, optionally include subfolders, batch rename supported video formats, and undo previous rename operations when needed, making it ideal for organizing... -
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Strict DLP Chinese (SDC) is a set of strict DLP (Dynamic Leech Protection) DLLs based on the eMule Xtreme Mod's official version. SDC variants put easyMule v2, easyMule v1 and/or eMule VeryCD Mod into "Soft Ban" or "Hard Ban" list because of GPL violation, private network, community leeching, and other behaviors.
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LazyDS4
Transform your DualShock 4 into a native Xbox 360 controller. v2.1.0
LazyDS4 is a controller mapping application designed to convert HID input from a DualShock 4 controller directly to a virtual Xbox 360 controller. Optimized for simplicity and performance, it offers real-time input mapping with a ~1ms (1000Hz) polling rate, modern graphical interface with PyQt5, and automatic joystick calibration. 📌 What's New (v2.1.0) 🎨 Visual Overhaul — Modern, professional interface with gradient backgrounds and advanced styling 📐 Layout Optimization — Improved... -
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Dice Roller v1.0
Basic dice roller application for Windows
This basic dice roller application supports 6 different types of dices such as D4, D6, D8, D10, D12 and D20. Clicking on the Roll button rolls these dices. Also pressing the space bar in your keyboard rolls the dice. Useful for board games and RPG games. -
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Warp VPN GUI
GUI para Warp VPN de Cloudflare
...Instalación Mediante Swiftinstall Descarga el paquete .deb Abre Swiftinstall y selecciona el paquete Pulsa en Instalar. Mediante dpkg Ejecuta dpkg -i warp-exec-v1.deb Requisitos Tener instalada Warp VPN -> https://pkg.cloudflareclient.com/#debian Haber activado Warp -> https://developers.cloudflare.com/warp-client/get-started/linux/ -
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Spyder AI Chat Plugin
Spyder IDE plugin providing separate chat pane for AI Assistance
An OpenAI-compatible chat pane for Spyder 6.1+. Supports OpenAI, Ollama, LM Studio, and any other server that exposes an OpenAI-compatible /v1/chat/completions endpoint. Installation with PyPi in the same environment as Spyder IDE: (spyder) $ pip install spyder-ai-chat Or from source: # clone / download and unzip the project source code, then: (spyder) $ cd spyder_ai_chat (spyder) $ pip install -e . -
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SuperSKU
A Open Source, Free POS (point of sale) system.
MOVED TO https://codeberg.org/Three_Avocados_Development_1/SuperSKU-v1 A Open Source, Free POS (point of sale) system. Licensed under GNU GPL V3 -
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Midbar Firebase Edition
Midbar Firebase Edition stores data in the cloud, keeps keys on device
...It comes with the firmware for the hardware IoT data vault and the desktop app that's synced with the vault via the Google Firebase. A vault and an app can be used without one another. The GitHub repository is available at github.com/Northstrix/Midbar-Firebase-Edition Tutorial for V1 https://www.instructables.com/DIY-IoT-Data-Vault-With-Google-Firebase/ Tutorial for V2 https://medium.com/@Northstrix/syncing-mcu-password-vault-with-desktop-app-using-google-firebase-28963e060444 Tutorial for V3 https://www.instructables.com/DIY-Advanced-IoT-Password-Vault-Synced-With-Deskto/ GitHub Repository: https://github.com/Northstrix/Midbar-Firebase-Edition -
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Gorilla CLI
LLMs for your CLI
Gorilla CLI powers your command-line interactions with a user-centric tool. Simply state your objective, and Gorilla CLI will generate potential commands for execution. Gorilla today supports ~1500 APIs, including Kubernetes, AWS, GCP, Azure, GitHub, Conda, Curl, Sed, and many more. No more recalling intricate CLI arguments. -
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minimalRL-pytorch
Implementations of basic RL algorithms with minimal lines of codes
minimalRL is a lightweight reinforcement learning repository that implements several classic algorithms using minimal PyTorch code. The project is designed primarily as an educational resource that demonstrates how reinforcement learning algorithms work internally without the complexity of large frameworks. Each algorithm implementation is contained within a single file and typically ranges from about 100 to 150 lines of code, making it easy for learners to inspect the entire implementation... -
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Yapsy
A fat-free DIY Python plugin management toolkit.
A simple framework for plugin system development with as few dependencies as possible. It is designed to offer a set of very lean classes (plugin managers and plugin interfaces) which can easily be customised by decoration or inheritance. Yapsy v1.x supports Python2 and Python3. Its source package contains versions of the sources for both pythons. Yapsy v2+ supports Python 3 and it's development happens now on https://github.com/tibonihoo/yapsy/ Usage samples, advices and developer's documentations are available on the main website. -
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Transaction Grabber V1
Grabbing and scraping all transaction hash and other details bitcoin
Scrap and Grabbing All Details Transaction (TXID) Bitcoin From Blockchain and any free block download and save to text file with filter details (HASH ID , ADDRESS, VALUE , ...) -
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XISMuS
X-Ray Imaging Software for Multiple Samples
ATTENTION: Cumulative update 2.5.0 has been released!! The update works for any previous 2.x.x version. If upgrading from version v1.x.x, please download and install v2.0.0 first. IMPORTANT FIXES in respect to base v2.0.0 version: v.2.5.0 introduces the Differential Attenuation and Cube Viewer utilities, and migrates user database to *.json files v2.4.3 fixes a with K element in the fit-approx method v2.4.3 fixes and issue where saving plots with fit-approx or a auto-wizard could freeze the software v2.4.2 introduces Image Viewer to Mosaic v2.4.1 fixes an issue in merging H5 or EDF datasets with Mosaic Full changelog at https://linssab.github.io/history X-Ray Fluorescence Imaging Software for Multiple Samples is an open source software to manipulate and study macro-X-Ray Fluorescence (MA-XRF) datasets. ... -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
...It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or markdown cells to illustrate what the code does and why — a design that makes it especially suitable for self-learners or students following along with real data. Besides raw implementations, the repo often shows best practices using higher-level constructs (e.g. dataset pipelines, estimators, layers) which reflect modern TensorFlow workflows rather than only textbook-style code. -
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HiFi-GAN
Generative Adversarial Networks for Efficient and High Fidelity Speech
HiFi-GAN is a GAN-based neural vocoder designed to generate high-fidelity speech waveforms from mel spectrograms with exceptional efficiency. It introduces a generator architecture tailored to model the periodic structure of speech and a set of discriminators that focus on different scales and periods of the waveform to better capture naturalness. The model targets a sweet spot between sample quality and generation speed, outperforming many previous GAN vocoders while being far faster than... -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorials and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, and metrics. Full transparency... -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. The models have achieved state-of-the-art results on benchmark datasets such as UCF101 and HMDB51, and also won first place in the CVPR 2017 Charades Challenge. ... -
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NeneBot v1.0b
Portuguese Bot Development - Software Intuitivo
This process is taking a bit longer, do to recently had to change home. Now, the program is based on audio replies. Work still in progress