Showing 10 open source projects for "speedup"

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  • 1
    AIMET

    AIMET

    AIMET is a library that provides advanced quantization and compression

    ...Quantized inference is significantly faster than floating point inference. For example, models that we’ve run on the Qualcomm® Hexagon™ DSP rather than on the Qualcomm® Kryo™ CPU have resulted in a 5x to 15x speedup. Plus, an 8-bit model also has a 4x smaller memory footprint relative to a 32-bit model. However, often when quantizing a machine learning model (e.g., from 32-bit floating point to an 8-bit fixed point value), the model accuracy is sacrificed.
    Downloads: 32 This Week
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  • 2
    MiniCPM4.1

    MiniCPM4.1

    Achieving 3+ generation speedup on reasoning tasks

    MiniCPM4.1 is an enhanced iteration of the MiniCPM4 architecture, introducing improvements in reasoning capabilities, inference speed, and hybrid operation modes that allow dynamic switching between deep reasoning and standard generation. It builds upon the same efficiency-focused philosophy but further optimizes decoding performance, achieving substantial speed gains in reasoning-intensive tasks while maintaining high-quality outputs. One of its key innovations is the hybrid reasoning mode,...
    Downloads: 0 This Week
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  • 3
    Modin

    Modin

    Scale your Pandas workflows by changing a single line of code

    ...Modin acts as a drop-in replacement for pandas, which means that you can continue using your previous pandas notebooks, unchanged, while experiencing a considerable speedup thanks to Modin, even on a single machine. Once you’ve changed your import statement, you’re ready to use Modin just like you would pandas.
    Downloads: 0 This Week
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  • 4

    Clipstitch

    Uility to make home movies from your digital camera files

    ...You can put Clipstitch commands into a text file and run as a script or type them in manually at a prompt. You can: Select portions of motion files with optional fades/slowmo/speedup, reverse play backwards. Adjust clip order. Concatenate to make your final "movie". V5.5 introduced captions, and special effects features.
    Downloads: 1 This Week
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 5
    GLM-130B

    GLM-130B

    GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

    GLM-130B is an open bilingual (English and Chinese) dense language model with 130 billion parameters, released by the Tsinghua KEG Lab and collaborators as part of the General Language Model (GLM) series. It is designed for large-scale inference and supports both left-to-right generation and blank filling, making it versatile across NLP tasks. Trained on over 400 billion tokens (200B English, 200B Chinese), it achieves performance surpassing GPT-3 175B, OPT-175B, and BLOOM-176B on multiple...
    Downloads: 16 This Week
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  • 6
    ToMe (Token Merging)

    ToMe (Token Merging)

    A method to increase the speed and lower the memory footprint

    ToMe (Token Merging) is a PyTorch-based optimization framework designed to significantly accelerate Vision Transformer (ViT) architectures without retraining. Developed by researchers at Facebook (Meta AI), ToMe introduces an efficient technique that merges similar tokens within transformer layers, reducing redundant computation while preserving model accuracy. This approach differs from token pruning, which removes background tokens entirely; instead, ToMe merges tokens based on feature...
    Downloads: 0 This Week
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  • 7
    Hugging Face Transformer

    Hugging Face Transformer

    CPU/GPU inference server for Hugging Face transformer models

    Optimize and deploy in production Hugging Face Transformer models in a single command line. At Lefebvre Dalloz we run in-production semantic search engines in the legal domain, in the non-marketing language it's a re-ranker, and we based ours on Transformer. In that setup, latency is key to providing a good user experience, and relevancy inference is done online for hundreds of snippets per user query. Most tutorials on Transformer deployment in production are built over Pytorch and FastAPI....
    Downloads: 1 This Week
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  • 8
    Snakes of Apocalypse

    Snakes of Apocalypse

    Snakes of Apocalypse is a funny multiplayer game

    ...Goal: player who first eats 30 apples wins. Bonuses: - battery: head and whole body of snake is electrified and kills other snakes. - hourglass: other players are immobilized. - speedup: player moves 1.5x faster. Weapons: - acid ball: limited distance, can kill multiple enemies with single shot - laser: shoot through whole level distance, can destroy obstacles! Environment: - bomb items: bombs appear randomly, exploding after few seconds. Strike radius increases with each explosion. There are two language versions: English (default) and Polish (if polish locale is detected). ...
    Downloads: 0 This Week
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  • 9
    onnxt5

    onnxt5

    Summarization, translation, sentiment-analysis, text-generation, etc.

    ...Run any of the T5 trained tasks in a line (translation, summarization, sentiment analysis, completion, generation) Export your own T5 models to ONNX easily. Utility functions to generate what you need quickly. Up to 4X speedup compared to PyTorch execution for smaller contexts.
    Downloads: 0 This Week
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  • 10
    Synchrorep

    Synchrorep

    Synchronize directories

    Synchrorep is a one click directory synchronization software. All modification will be reported to one to the other and vice versa. Usefull for nomads or speedup differencials backup.
    Downloads: 0 This Week
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