Showing 204 open source projects for "cloud simulation tools"

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  • 1
    using simple cuboids and gjk algorithm, this general purpose algorithm gives a ready made code to work with swissranger 3D camera.
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  • 2
    Alpamayo 2 Super

    Alpamayo 2 Super

    Open VLA model for autonomous driving reasoning and planning

    ...The model processes multi-camera video, navigation signals, and driving context to produce driving trajectories alongside interpretable Chain-of-Causation reasoning, improving transparency for validation and safety analysis. Alpamayo2-Super is part of the broader NVIDIA Alpamayo ecosystem, which also includes simulation frameworks, reinforcement learning infrastructure, datasets, and physical AI tools for end-to-end autonomous vehicle development. It integrates with AlpaGym for closed-loop reinforcement learning and Cosmos-Dreams for large-scale driving simulation, allowing developers to train, evaluate,
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  • 3
    Mellum-4b-base

    Mellum-4b-base

    JetBrains’ 4B parameter code model for completions

    ...Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs. The model is efficient for both cloud inference with vLLM and local deployment using llama.cpp or Ollama, thanks to its bf16 precision and AMP training. While the base model is not fine-tuned for downstream tasks, it is designed to be easily adapted through supervised fine-tuning (SFT) or reinforcement learning (RL). Benchmarks on RepoBench, SAFIM, and HumanEval demonstrate its competitive performance, with specialized fine-tuned versions for Python already showing strong improvements.
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  • 4
    XTTS-v2

    XTTS-v2

    Multilingual voice cloning model with 6-second voice samples

    XTTS-v2 is an open-source multilingual text-to-speech and voice cloning model developed by Coqui. It enables zero-shot voice cloning using as little as six seconds of reference audio, allowing users to generate speech that closely matches a target speaker without additional training. The model supports 17 languages and can perform cross-language voice cloning, meaning a voice recorded in one language can be used to synthesize speech in another while preserving speaker identity. XTTS-v2...
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