Search Results for "python programming language" - Page 25

Showing 4490 open source projects for "python programming language"

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  • 1
    The Agda standard library

    The Agda standard library

    The Agda standard library

    The standard library aims to contain all the tools needed to write both programs and proofs easily. While we always try and write efficient code, we prioritize ease of proof over type-checking and normalization performance. If computational performance is important to you, then perhaps try agda-prelude instead. Agda is a dependently typed programming language. It is an extension of Martin-Löf’s type theory and is the latest in the tradition of languages developed in the programming logic group...
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  • 2
    Qtile

    Qtile

    A full-featured, hackable tiling window manager written in Python

    A full-featured, hackable tiling window manager written and configured in Python. Optimize your workflow by configuring your environment to fit how you work. Efficiently use screen real-estate by automatically arranging windows with minimal visual cruft. Save your wrists from RSI by ditching the mouse and driving with the keyboard. Qtile is simple, small, and extensible. It's easy to write your own layouts, widgets, and built-in commands. Qtile is written and configured entirely in Python...
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  • 3
    NVIDIA NeMo

    NVIDIA NeMo

    Toolkit for conversational AI

    NVIDIA NeMo, part of the NVIDIA AI platform, is a toolkit for building new state-of-the-art conversational AI models. NeMo has separate collections for Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Text-to-Speech (TTS) models. Each collection consists of prebuilt modules that include everything needed to train on your data. Every module can easily be customized, extended, and composed to create new conversational AI model architectures. Conversational AI...
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  • 4
    Diplomacy Cicero

    Diplomacy Cicero

    Code for Cicero, an AI agent that plays the game of Diplomacy

    diplomacy_cicero contains the full training code, configurations, and model checkpoints for Cicero, Facebook AI Research’s (FAIR) groundbreaking agent that achieved human-level performance in the game of Diplomacy by combining large language models with advanced strategic reasoning. Described in the Science (2022) paper “Human-Level Play in the Game of Diplomacy by Combining Language Models with Strategic Reasoning,” Cicero represents one of the first AI systems to successfully integrate...
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  • 5
    Perception Models

    Perception Models

    State-of-the-art Image & Video CLIP, Multimodal Large Language Models

    Perception Models is a state-of-the-art framework developed by Facebook Research for advanced image and video perception tasks. It introduces two primary components: the Perception Encoder (PE) for visual feature extraction and the Perception Language Model (PLM) for multimodal decoding and reasoning. The PE module is a family of vision encoders designed to excel in image and video understanding, surpassing models like SigLIP2, InternVideo2, and DINOv2 across multiple benchmarks. Meanwhile, PLM...
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  • 6
    Browser Use MCP Server

    Browser Use MCP Server

    Browse the web, directly from Cursor etc.

    A browser automation server implementing the Model Context Protocol, designed to allow AI assistants to browse the web directly from applications like Cursor. It supports natural language commands for web navigation and interaction. ​
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  • 7
    MiniMind

    MiniMind

    Train a 26M-parameter GPT from scratch in just 2h

    minimind is a framework that enables users to train a 26-million-parameter GPT (Generative Pre-trained Transformer) model from scratch in approximately two hours. It provides a streamlined process for data preparation, model training, and evaluation, making it accessible for individuals and organizations to develop their own language models without extensive computational resources.
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  • 8
    R1-V

    R1-V

    Witness the aha moment of VLM with less than $3

    R1-V is an initiative aimed at enhancing the generalization capabilities of Vision-Language Models (VLMs) through Reinforcement Learning in Visual Reasoning (RLVR). The project focuses on building a comprehensive framework that emphasizes algorithm enhancement, efficiency optimization, and task diversity to achieve general vision-language intelligence and visual/GUI agents. The team's long-term goal is to contribute impactful open-source research in this domain.
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  • 9
    Dataherald

    Dataherald

    Interact with your SQL database, Natural Language to SQL using LLMs

    Dataherald is a platform that allows users to query structured databases using natural language, automatically converting plain English into SQL. It is designed to enable real-time, self-service analytics without needing technical knowledge of databases, making business data easily accessible to non-technical users. Dataherald focuses on speed, accuracy, and scalability for enterprise settings.
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  • 10
    Tianji

    Tianji

    Evaluation suite designed to assess the performance of LLMs

    Tianji is a comprehensive evaluation suite designed to assess the performance of large language models (LLMs) across multiple dimensions. It focuses on measuring general capabilities such as reasoning, knowledge, commonsense, and language understanding. Tianji provides a curated set of benchmarks and a unified framework for systematically comparing LLMs, making it useful for research and model selection.
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  • 11
    PaLM + RLHF - Pytorch

    PaLM + RLHF - Pytorch

    Implementation of RLHF (Reinforcement Learning with Human Feedback)

    PaLM-rlhf-pytorch is a PyTorch implementation of Pathways Language Model (PaLM) with Reinforcement Learning from Human Feedback (RLHF). It is designed for fine-tuning large-scale language models with human preference alignment, similar to OpenAI’s approach for training models like ChatGPT.
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  • 12
    MegaParse

    MegaParse

    File Parser optimised for LLM Ingestion with no loss

    MegaParse is a file parser optimized for Large Language Model (LLM) ingestion, ensuring no loss of information. It efficiently parses various document formats, such as PDFs, DOCX, and PPTX, converting them into formats ideal for processing by LLMs. This tool is essential for applications that require accurate and comprehensive data extraction from diverse document types.
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  • 13
    LangChain.js

    LangChain.js

    Building applications with LLMs through composability

    Building applications with LLMs through composability. Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications. This is built to integrate...
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  • 14
    PEFT

    PEFT

    State-of-the-art Parameter-Efficient Fine-Tuning

    Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters. Fine-tuning large-scale PLMs is often prohibitively costly. In this regard, PEFT methods only fine-tune a small number of (extra) model parameters, thereby greatly decreasing the computational and storage costs. Recent State-of-the-Art PEFT techniques achieve performance comparable to that of full fine...
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  • 15
    Kaleidoscope-SDK

    Kaleidoscope-SDK

    User toolkit for analyzing and interfacing with Large Language Models

    kaleidoscope-sdk is a Python module used to interact with large language models hosted via the Kaleidoscope service available at: https://github.com/VectorInstitute/kaleidoscope. It provides a simple interface to launch LLMs on an HPC cluster, asking them to perform basic features like text generation, but also retrieve intermediate information from inside the model, such as log probabilities and activations. Users must authenticate using their Vector Institute cluster credentials. This can...
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  • 16
    vyper

    vyper

    Pythonic Smart Contract Language for the EVM

    See Installing Vyper to install vyper. See Tools and Resources for an additional list of framework and tools with vyper support. See Documentation for the documentation and overall design goals of the Vyper language. See Learn.Vyperlang.org for learning Vyper by building a Pokémon game. See try.vyperlang.org to use Vyper in a hosted jupyter environment! There is also an online compiler available you can use to experiment with the language and compile to bytecode and/or IR. While the vyper...
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  • 17
    INim

    INim

    Interactive Nim shell / REPL / Playground

    INim is an interactive shell (REPL) for the Nim programming language, providing a platform for executing Nim code snippets in real-time.
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  • 18
    Semantix

    Semantix

    Non-Pydantic, Non-JSON Schema, efficient AutoPrompting

    Semantix empowers developers to infuse meaning into their code through enhanced variable typing (semantic typing). By leveraging the power of large language models (LLMs) behind the scenes, Semantix transforms ordinary functions into intelligent, context-aware operations without explicit LLM calls.
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  • 19
    NotyKT

    NotyKT

    Complete Kotlin-stack (Backend + Android) application

    NotyKT is the complete Kotlin-stack note-taking application built to demonstrate a use of Kotlin programming language in server-side and Modern Android development tools. Dedicated to all Android Developers.
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  • 20
    InvertibleNetworks.jl

    InvertibleNetworks.jl

    A Julia framework for invertible neural networks

    Building blocks for invertible neural networks in the Julia programming language.
    Downloads: 0 This Week
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  • 21
    Nemo.jl

    Nemo.jl

    Julia bindings for various mathematical libraries (including flint2)

    Nemo is a computer algebra package for the Julia programming language. It aims to cover commutative algebra, number theory and group theory. Julia bindings for various mathematical libraries (including flint2)
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  • 22
    CSV

    CSV

    Utility library for working with CSV and other delimited files

    Welcome to CSV.jl! A pure-Julia package for handling delimited text data, be it comma-delimited (csv), tab-delimited (tsv), or otherwise. A fast, flexible delimited file reader/writer for Julia.
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  • 23
    Gojekyll

    Gojekyll

    A fast Go implementation of the Jekyll blogging engine

    Gojekyll is a partially-compatible clone of the Jekyll static site generator, written in the Go programming language. It provides build and serve commands, with directory watch and live reload.
    Downloads: 0 This Week
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  • 24
    YiYiYa

    YiYiYa

    YiYiYa

    YiYiYa is a minimalist, Chinese-language desktop operating system with a custom graphical interface, designed for simplicity and education. Built primarily with C/C++, it includes its own kernel and GUI layer, featuring basic OS utilities such as file management, terminal, and user interface components. YiYiYa is bootable and self-contained, allowing users to experience a lightweight graphical OS that blends low-level programming with creative UI design, primarily targeting Chinese-speaking...
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  • 25
    TorchDistill

    TorchDistill

    A coding-free framework built on PyTorch

    torchdistill (formerly kdkit) offers various state-of-the-art knowledge distillation methods and enables you to design (new) experiments simply by editing a declarative yaml config file instead of Python code. Even when you need to extract intermediate representations in teacher/student models, you will NOT need to reimplement the models, which often change the interface of the forward, but instead specify the module path(s) in the yaml file. In addition to knowledge distillation...
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