Search Results for "python games code" - Page 148

Showing 3692 open source projects for "python games code"

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  • 1

    text_summurization_abstractive_methods

    Multiple implementations for abstractive text summurization

    This repo is built to collect multiple implementations for abstractive approaches to address text summarization it is built to simply run on google colab , in one notebook so you would only need an internet connection to run these examples without the need to have a powerful machine , so all the code examples would be in a jupyter format , and you don't have to download data to your device as we connect these jupyter notebooks to google drive
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  • 2

    tKroopy

    Open source tkinter framework for grouping small applications together

    tKroopy is an open source Tkinter framework for building groups of small to medium GUI applications - Think of it as a hub for your applications and scripts. tKroopy includes some additional widgets to make building applications faster.
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  • 3
    Chapas videogame

    Chapas videogame

    3D turn-based bottlecap racing game with support for multi-players

    Chapas is an open source turn-based bottlecap racing game, with 3D graphics, where the players strategically control the racers with cards. A typical round of Chapas starts by dealing 9 random cards to each player. Each of these cards represents movement points for the different bottlecaps. Afterwards, an auction takes place, where the players use their money (an initially set amount, that accumulates over different rounds), to buy the bottlecaps better suited to each player's cards....
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  • 4
    Code repository for the Laboratory for Genome Bioinformatics at Texas A&M. The LGB project was initiated primarily to support biologists at Texas A&M needing help with bioinformatics in order to use new genomic technologies.
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  • 5
    gpt-oss-20b

    gpt-oss-20b

    OpenAI’s compact 20B open model for fast, agentic, and local use

    GPT-OSS-20B is OpenAI’s smaller, open-weight language model optimized for low-latency, agentic tasks, and local deployment. With 21B total parameters and 3.6B active parameters (MoE), it fits within 16GB of memory thanks to native MXFP4 quantization. Designed for high-performance reasoning, it supports Harmony response format, function calling, web browsing, and code execution. Like its larger sibling (gpt-oss-120b), it offers adjustable reasoning depth and full chain-of-thought visibility...
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  • 6
    Llama-3.1-8B-Instruct

    Llama-3.1-8B-Instruct

    Multilingual 8B-parameter chat-optimized LLM fine-tuned by Meta

    Llama-3.1-8B-Instruct is a multilingual, instruction-tuned language model developed by Meta, designed for high-quality dialogue generation across eight languages, including English, Spanish, French, German, Italian, Portuguese, Hindi, and Thai. It uses a transformer-based, autoregressive architecture with Grouped-Query Attention and supports a 128k token context window. The model was fine-tuned using a combination of supervised fine-tuning (SFT), reinforcement learning with human feedback...
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  • 7
    Meta-Llama-3-8B-Instruct

    Meta-Llama-3-8B-Instruct

    Instruction-tuned 8B LLM by Meta for helpful, safe English dialogue

    ... available data and more than 10 million human-annotated examples, it excludes any Meta user data. The model is released under the Meta Llama 3 Community License, which allows commercial use for organizations with fewer than 700 million MAUs, and imposes clear use, attribution, and redistribution rules. Meta provides safety tools like Llama Guard 2 and Code Shield to help developers implement system-level safety in applications.
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  • 8
    Petoron core (ADC)

    Petoron core (ADC)

    An open source blockchain written from scratch in Python.

    1,000,000,000 ADC issue. 0 commissions on transfers until the last coin is mined, then smart commissions are included, % of which goes directly to miners. A unique authorization system based on a rubik's cube that is not stored anywhere. If you lose your Cube, forget about your wallet forever. Its own code, and its own data storage system. No third-party dependencies. The network heals itself, deleted or changed chain or balances? The system will restore itself, without your...
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  • 9

    Firefly's Clean Lzo

    A human-readable ISC-Licensed implementation of the LZO1X algorithm.

    LZO is a compression library which is widely used around the world. The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C...
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  • 10

    golib

    C++ collection mostly for image processing

    libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others...
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  • 11
    SoGui est un toolkit graphique C++ multiplate-forme (Windows/X11). SoGui permet donc de créer des interfaces GUI de façon portable sur Windows, GNU/Linux, *BSD, etc. SoGui est aussi utilisable en C et en Python.
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  • 12
    DeepSWE-Preview

    DeepSWE-Preview

    State-of-the-art RL-trained coding agent for complex SWE tasks

    ... scaling, and innovative policy gradient strategies adapted from GRPO, DAPO, Dr.GRPO, and RLOO. DeepSWE-Preview showcases strong reasoning, file navigation, and patch submission skills. It is ideal for agent-based code repair, debugging, and PR generation across real-world repositories. The model is served using platforms like vLLM and Hugging Face TGI, with support for 64k context length and OpenAI-compatible APIs.
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  • 13
    Llama-2-7b

    Llama-2-7b

    7B-parameter foundational LLM by Meta for text generation tasks

    ... processing tasks, such as summarization, completion, and code generation. It demonstrates solid performance on academic benchmarks like MMLU and TruthfulQA, improving on its predecessor, Llama 1. The Llama-2-7B model is released under Meta’s Llama 2 Community License, which allows for commercial use under certain conditions, especially for companies with fewer than 700 million MAUs.
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  • 14
    FLUX.1-schnell

    FLUX.1-schnell

    12B-parameter image generator using fast rectified flow transformers

    FLUX.1-schnell is a 12 billion parameter text-to-image model developed by Black Forest Labs, designed for high-quality image generation using rectified flow transformers. It produces competitive visual results with strong prompt adherence, rivaling closed-source models in just 1 to 4 inference steps. Trained using latent adversarial diffusion distillation, the model is optimized for both quality and speed. It is released under the Apache 2.0 license, allowing commercial, scientific, and...
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  • 15
    stable-video-diffusion-img2vid-xt

    stable-video-diffusion-img2vid-xt

    Generates high-quality short videos from a single still image input

    Stable Video Diffusion Img2Vid XT is an advanced image-to-video latent diffusion model developed by Stability AI, designed to generate short video clips from a single static image. It produces 25 frames at 576x1024 resolution, offering improved temporal consistency by fine-tuning from an earlier 14-frame version. The model operates without text prompts and instead uses a single input frame to guide visual generation, making it ideal for stylized motion or animation. It includes both a...
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  • 16
    Llama-3.3-70B-Instruct

    Llama-3.3-70B-Instruct

    Llama-3.3-70B-Instruct is a multilingual AI optimized for helpful chat

    Llama-3.3-70B-Instruct is Meta's large, instruction-tuned language model designed for safe, multilingual, assistant-style conversations and text generation. With 70 billion parameters, it supports English, Spanish, French, German, Italian, Portuguese, Hindi, and Thai, offering state-of-the-art performance across a wide range of benchmarks including MMLU, HumanEval, and GPQA. The model is built on a transformer architecture with grouped-query attention, trained on over 15 trillion tokens and...
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  • 17
    Llama-2-7b-hf

    Llama-2-7b-hf

    Llama-2-7B is a 7B-parameter transformer model for text generation

    ..., question answering, and code generation. Llama-2-7B outputs text only, with input also restricted to text. Fine-tuned variants of this model, such as Llama-2-Chat, demonstrate competitive performance in dialogue tasks and safety benchmarks, rivaling proprietary models. The model was trained using Meta’s infrastructure, including 184,320 GPU hours and emissions fully offset by Meta’s sustainability program.
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