Search Results for "download spring framework"
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Showing 19 open source projects for "download spring framework"
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1
Embabel Agent Framework
Agent framework for the JVM. Pronounced Em-BAY-bel
...It models agent behavior through concepts such as goals, actions, and conditions, allowing systems to adapt in real time based on changing inputs and outcomes. Built on top of the Spring ecosystem, it integrates seamlessly with enterprise infrastructure, enabling features like dependency injection, persistence, and transaction management. The framework supports multiple execution modes, including focused, closed, and open systems, each offering different levels of autonomy and flexibility. -
2
Solon
Java enterprise application development framework
Solon is a full-scenario Java enterprise application framework that positions itself as a lean, high-performance alternative to heavy stacks. It advertises large concurrency gains, lower memory use, much faster startup, and dramatically smaller packages while remaining compatible from Java 8 through Java 24. The framework focuses on restrained APIs and an open ecosystem, with modules that cover web, data, cloud, and microservice patterns. -
3
deepface
A Lightweight Face Recognition and Facial Attribute Analysis
DeepFace is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace and GhostFaceNet. Experiments show that human beings have 97.53% accuracy on facial recognition tasks whereas those models already reached and passed that accuracy level. -
4
llamafile
Distribute and run LLMs with a single file
...(announcement blog post). Our goal is to make open LLMs much more accessible to both developers and end users. We're doing that by combining llama.cpp with Cosmopolitan Libc into one framework that collapses all the complexity of LLMs down to a single-file executable (called a "llamafile") that runs locally on most computers, with no installation. The easiest way to try it for yourself is to download our example llamafile for the LLaVA model (license: LLaMA 2, OpenAI). LLaVA is a new LLM that can do more than just chat; you can also upload images and ask it questions about them. ... -
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5
mlx
MLX: An array framework for Apple silicon
MlX offers a local web interface to browse, download, and run ML models via Hugging Face or local sources. It supports searching by tags or tasks, visualization of model metadata, quick inference demos, automatic setup of runtime environments, and works with PyTorch, TensorFlow, and ONNX. Ideal for researchers exploring and testing models via browser. -
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Train LLM From Scratch
A straightforward method for training your LLM
Train LLM From Scratch is an educational PyTorch project that shows how to build and train a transformer-based language model from the ground up. It is based on the architecture described in Attention Is All You Need and is designed to make the training pipeline understandable rather than hidden behind a large framework. The repository walks through the process from downloading data to generating text with a trained model. It supports training smaller or larger models, including million- and... -
7
lightning AI
The most intuitive, flexible, way for researchers to build models
...Find templates (Lightning Apps), modify them and publish your own. Lightning Apps can even be full standalone ML products! Run on your laptop for free! Download the code and type 'lightning run app'. Feel free to ssh into any machine and run from there as well. In research, we often have multiple separate scripts to train models, finetune them, collect results and more. -
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IMS Toucan
Controllable and fast Text-to-Speech for over 7000 languages
IMS-Toucan is a toolkit for training, using, and teaching state-of-the-art text-to-speech systems, built at the Institute for Natural Language Processing (IMS), University of Stuttgart. It is the official home of ToucanTTS, a massively multilingual TTS system designed to support over 7,000 languages with a single unified framework. The toolkit focuses on being fast and controllable while not requiring huge amounts of compute, making it practical for research labs and smaller teams. It... -
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Brokk
Brokk brings code intelligence to AI
Brokk is a code intelligence assistant framework designed to let large language models (LLMs) understand code semantically (not just as raw text) so that they can work effectively on large codebases that don’t fit wholly in a prompt context. It helps bridge the gap between LLMs and real-world engineering code by offering tooling to index, analyze, query, and augment code context, so that AI can meaningfully reason about existing code, suggest edits, and navigate across projects. Modular... -
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10
fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. -
11
NASH OS
Nash Operating System for Modern Ecommerce
The all-built-in-one, automatic, ready-to-go out-of-box, easy-to-use state-of-the-art, and really awesome NASH OS! Over 25,000+ flexible features and controls and all scalable!! The most powerful solution ever built to instantly deliver new heights of online ecommerce enterprise to you. -
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JABM is a Java framework for building agent-based simulation models using a discrete-event simulation framework.
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13
Text to Speech
Test to speech
Enjoy text to speech application for windows,just download this application. To run this application you need to install Dotnet framework 3.5 Contact me at : http://agalaxycode.blogspot.com -
14
openhealthpractice
A simulation environment for physiology models simulation
...Results can also be exported to different formats (xls, txt or csv). This simulation environment is built using Spring Framework and Java technologies. For more information on how to deploy and use the tool, check the installation and user manuals. This tool was developed within the Synergy project. You can view our publication about the Simulation Environment here: http://www.translational-medicine.com/content/12/S2/S7 The rest of the publication outcomes of the project can be found here: http://www.translational-medicine.com/supplements/12/S2 -
15
Aliza Gaming API
An extensible development framework for roleplay games.
Download the latest version, explore the detailed documentation, and join the community of developers pushing the boundaries of gaming technology. -
16
Oberon is a DeviantArt chat bot written by onisemus. It's purpose was to provide another alternative for bots written for the .NET Framework. Since .NET comes preinstalled on most machines, that means you don't have to do any configuring to run this bot - just download and you're ready to go! Note: To get the source head over to https://github.com/JonHaywood/Oberon
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17
txtspeech: A Text to Speech Application
A Text to Speech Application for Microsoft Windows.
...It uses Microsoft's SAPI Technologies to speak whatever you enter into it's text box. We recommend downloading the binary EXE file for installation, but experienced users can download ZIP or RAR if needed. To run the program, you need .NET Framework 4 installed. .NET Framework 4 http://www.microsoft.com/en-us/download/details.aspx?id=17851 My Website http://cryanmedia.com/ -
18
jSemanticService is a lightweight framework that allows to use Rules and Semantics in Services or Applications using Annotations. Features: jBoss Rules (Drools 4.0) as Business Rules Engine provider. Full support of Annotations, Spring, Flex/Blaze DS.
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19
Grok-2.5
Large-scale xAI model for local inference with SGLang, Grok-2.5
Grok-2.5 is a large-scale AI model developed and released by xAI in 2024, made available through Hugging Face for research and experimentation. The model is distributed as raw weights that require specialized infrastructure to run, rather than being hosted by inference providers. To use it, users must download over 500 GB of files and set them up locally with the SGLang inference engine. Grok-2.5 supports advanced inference with multi-GPU configurations, requiring at least 8 GPUs with more than 40 GB of memory each for optimal performance. It integrates with the SGLang framework to enable serving, testing, and chat-style interactions. ...
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