Search Results for "python programming language" - Page 80
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Showing 5506 open source projects for "python programming language"
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LLaMA-MoE
Building Mixture-of-Experts from LLaMA with Continual Pre-training
LLaMA-MoE is an open-source project that builds mixture-of-experts language models from LLaMA through expert partitioning and continual pre-training. The repository is centered on making MoE research more accessible by offering smaller and more affordable models with only about 3.0 to 3.5 billion activated parameters, which helps reduce deployment and experimentation costs. Its architecture works by splitting LLaMA feed-forward networks into sparse experts and adding gating mechanisms so... -
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RWKV
RNN with great LLM performance
RWKV-LM is the main research and training repository for the RWKV language model architecture. It presents RWKV as an attention-free RNN-style model that aims to reach transformer-level language model performance. The project is built around the idea that a model can be trained in a parallelizable way like a GPT-style transformer while running inference with recurrent efficiency. This gives RWKV important advantages for long-context use, including lower memory pressure and no traditional... -
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SNOBOL4, while known primarily as a string language excels at any task involving symbolic manipulations. It provides run time typing, garbage collection, user data types, on the fly compilation.
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Dominate
Dominate is a Python library for creating and manipulating HTML docs
Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminates the need to learn another template language, and lets you take advantage of the more powerful features of Python. Dominate can also use keyword arguments to append attributes onto your tags. -
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Alpaca-CoT
We unified the interfaces of instruction-tuning data
Alpaca-CoT is an open research project focused on improving reasoning capabilities in language models through chain-of-thought training data. The project builds upon the Alpaca instruction-tuning approach by introducing datasets and methods that encourage models to produce intermediate reasoning steps when solving problems. Instead of generating answers directly, the model learns to produce logical reasoning sequences that lead to the final solution. This chain-of-thought supervision helps... -
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siglent_explorer
Siglent SDS 1102CML+ interface using Python and PyUSB
This is an interface to the Siglent SDS 1102CML+ digital scope that doesn't use VISA or other proprietary software. This is not an API, it's based on unique asynchronous, event driven programming model which uses virtual machines which communicate over a virtual network. Tkinter is used both for that graphical user interface as well as a thread manager. The programming model and the use of Tkinter makes development much simpler. -
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DB-GPT-Hub
A repository that contains models, datasets, and fine-tuning
DB-GPT-Hub is an open-source repository that provides datasets, models, and training tools designed to improve large language models for database interaction tasks, particularly Text-to-SQL. The project serves as a specialized extension of the broader DB-GPT ecosystem, focusing on the preparation and evaluation of models capable of translating natural language questions into structured database queries. It offers a modular framework that supports data preparation, model fine-tuning,... -
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py_automata
Virtual machines communicating over a virtual network.
By using virtual machines, known as workcells, to communicate with other virtual machines over a virtual network, creating complex event driven programs becomes very simple. For example, the USB port interface is completely autonomous and doesn't have an API. Instead, it interacts with other workcells by receiving three request messages, 'Read', 'Write' and 'Query' and transmitting 'Read' and 'Write' status messages. This is based on the industrial automation programming model where complex... -
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EvaDB
Database system for building simpler and faster AI-powered application
...This programming complexity prevents people who are experts in other domains from benefiting from these models. Running these deep learning models on large document or video datasets is costly and time-consuming. For example, the state-of-the-art object detection model takes multiple GPU years to process just a week’s videos from a single traffic monitoring camera. -
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towhee
Framework that is dedicated to making neural data processing
Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to... -
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1loc
What's your favorite JavaScript single LOC (line of code)?
1loc is a community-maintained collection of useful JavaScript operations expressed as a single line of code. Each entry demonstrates a compact solution to a focused programming task. The collection is designed for quick reference, learning, and discovering language techniques that may simplify everyday scripts. Topics span arrays, objects, strings, dates, browser behavior, validation, and other common utilities. Examples are stored as individual Markdown files, making the repository easy to browse and extend. ... -
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This program aquires data from the oscilloscope LeCroy9400A, Advantest TR4131 and from the PM3311 (own propriatary bus). Dieses Programm liest Daten der Oszilloskope LeCroy9400A, Advantest TR4131 und PM3311 (eigene proprietäre Schnittstelle) aus.
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ReplitLM
Inference code and configs for the ReplitLM model family
ReplitLM is a family of open-source language models developed by Replit for assisting with programming tasks such as code generation and completion. The project includes model checkpoints, configuration files, and example code that enable developers to run and experiment with the models locally or within machine learning frameworks. These models are designed specifically for coding workflows and are trained on large datasets of source code covering many programming languages and development environments. ... -
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NSQ
A realtime distributed messaging platform
NSQ is a realtime distributed messaging platform that is designed to scale, and can even handle billions of messages daily. It promotes distributed and decentralized topologies, allowing it high availability and fault tolerance along with guaranteed reliable message delivery. NSQ scales horizontally and is easy to configure and deploy. It is agnostic to data format, so messages can be in JSON, MsgPack, Protocol Buffers, or anything else. Official Go and Python libraries are available,... -
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usb-loadcell
USB loadcell meter using an MCP2210 chip to interface with an HX711
An MCP2210 chip along with a CD74HC132E quad Nand gate used as glue logic is used to interface with an HX711 load cell amplifier. Python along with the PyUSB library is used for control. Tkinter is used as both a visual interface and thread manager. The program uses workcells which are virtual autonomous machines which communicate over a virtual peer to peer network. This results in a very simple asynchronous event driven program environment. Communication between workcells is done by... -
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SILENTTRINITY
An asynchronous, collaborative post-exploitation agent
SILENTTRINITY is a modern post-exploitation framework built around asynchronous, collaborative, and multi-server workflows for authorized security operations. It is powered by Python 3 and .NET’s Dynamic Language Runtime, using the author’s Bring Your Own Interpreter concept to dynamically evaluate tasks through embedded .NET scripting languages. The framework was designed to bring back some of the flexibility associated with PowerShell-style operations without directly relying on PowerShell. Its architecture supports multiple users, multiple teamservers, real-time communication, and a modern command-line interface. ... -
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flow.ci
Powerful and user-friendly CI / CD server with high availability
...It supports high availability, multiple building environment, and scalability with dynamic agents. flow.ci tries to minimize the complexity of any configuration, the server could be started with three command lines. It also provides build templates of many programming languages, a job could be started just by using it. Using plugins on flow.ci is quite simple, you just need type the plugin name in the step. Developing a plugin is also quite easy, you could use any language on your own plugin development. -
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GPT-2 Output Dataset
Dataset of GPT-2 outputs for research in detection, biases, and more
The GPT-2 Output Dataset is a large collection of model-generated text, released by OpenAI alongside the GPT-2 research paper to study the behaviors and limitations of large language models. 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... -
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DocTrax
Document Tracking System for DepEd RO III
Programming Language: PHP Framework: CodeIgniter DBMS: MySQL For development: 1. Rename the folder to devdoctrax. 2. Create a database dev_doctrax. 3. Open devdoctrax/index.php. 4. Change line 58 to development or define('ENVIRONMENT', 'development'); 5. Run the app through localhost/devdoctrax. For testing: 1. Rename the folder to testdoctrax. 2. -
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Langcorn
Serving LangChain LLM apps automagically with FastApi
LangCorn is an API server that enables you to serve LangChain models and pipelines with ease, leveraging the power of FastAPI for a robust and efficient experience. -
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OpenCarenet CHE
Enabling community health workers to collect health data efficiently
OpenCarenet CHE is a robust and user-friendly application tailored for community health workers, facilitating seamless data collection, management, and reporting. With its mobile data collection capabilities, offline functionality, and interoperability with DHIS2, the app empowers health professionals to efficiently track patient information, aggregate primary data, and generate detailed health reports, even in areas with limited internet access. Its multilingual support and configurable... -
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OpenAssistant
Chat-based assistant that understands tasks
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. In the same way that Stable Diffusion helped the world make art and images in new ways, we want to improve the world by providing amazing conversational AI. We are in the early stages of development, working from established research in applying RLHF to large language models. Open Assistant is a project organized by LAION and individuals around... -
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YiVal
Your Automatic Prompt Engineering Assistant for GenAI Applications
YiVal is an open-source framework designed to automate prompt engineering and evaluation workflows for generative AI applications, enabling developers to systematically improve the performance of large language models. It focuses on experimentation and optimization by allowing users to test multiple prompt variations, configurations, and model parameters in parallel, then evaluate their outputs using structured metrics and scoring systems. The platform is particularly useful in production... -
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Language Models
Explore large language models in 512MB of RAM
languagemodels is a lightweight Python library designed to simplify experimentation with large language models while maintaining extremely low hardware requirements. The project focuses on enabling developers and students to explore language model capabilities without needing expensive GPUs or large cloud infrastructures. By using small and optimized models, the library allows LLM inference to run in environments with limited resources, sometimes requiring only a few hundred megabytes of memory. ... -
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Metatheory.jl
General purpose algebraic metaprogramming
Metatheory.jl is a general purpose term rewriting, metaprogramming and algebraic computation library for the Julia programming language, designed to take advantage of the powerful reflection capabilities to bridge the gap between symbolic mathematics, abstract interpretation, equational reasoning, optimization, composable compiler transforms, and advanced homoiconic pattern matching features. The core features of Metatheory.jl are a powerful rewrite rule definition language, a vast library of functional combinators for classical term rewriting and an e-graph rewriting, a fresh approach to term rewriting achieved through an equality saturation algorithm. ...
