Showing 5 open source projects for "data analysis and visualizing"

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  • Eurekos LMS - Build a Smarter Customer Icon
    Eurekos LMS - Build a Smarter Customer

    The Eurekos customer training LMS makes it easy to deliver product training that retains more customers and transforms partners into advocates.

    Eurekos is a purpose-built LMS that engages customers throughout the entire learning journey from pre-sales, to onboarding, and everything after.
    Learn More
  • Regpack: All-in-One Online Registration and Payment Software Icon
    Regpack: All-in-One Online Registration and Payment Software

    For camps, courses, virtual classes, client billing, events, conferences, meetings, afterschool programs, educational travel, retreats

    Regpack is a powerful onboarding, registration, and payments platform trusted by thousands of organizations worldwide. Our mission is simple: to give you the tools to automate busywork, streamline your processes, and keep your focus where it belongs, on growing your programs and serving your clients.
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  • 1
    BertViz

    BertViz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

    BertViz is an interactive tool for visualizing attention in Transformer language models such as BERT, GPT2, or T5. It can be run inside a Jupyter or Colab notebook through a simple Python API that supports most Huggingface models. BertViz extends the Tensor2Tensor visualization tool by Llion Jones, providing multiple views that each offer a unique lens into the attention mechanism. The head view visualizes attention for one or more attention heads in the same layer. It is based on the...
    Downloads: 0 This Week
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  • 2
    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...
    Downloads: 3 This Week
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  • 3
    Deep Feature Rotation Multimodal Image

    Deep Feature Rotation Multimodal Image

    Implementation of Deep Feature Rotation for Multimodal Image

    Official implementation of paper Deep Feature Rotation for Multimodal Image Style Transfer [NICS'21] We propose a simple method for representing style features in many ways called Deep Feature Rotation (DFR), while still achieving effective stylization compared to more complex methods in style transfer. Our approach is a representative of the many ways of augmentation for intermediate feature embedding without consuming too much computational expense. Prepare your content image and style...
    Downloads: 0 This Week
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  • 4
    NiftyNet

    NiftyNet

    An open-source convolutional neural networks platform for research

    ...Adapt existing networks to your imaging data. Quickly build new solutions to your own image analysis problems. NiftyNet currently supports medical image segmentation and generative adversarial networks. NiftyNet is not intended for clinical use.
    Downloads: 0 This Week
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  • SIEM | API Security | Log Management Software Icon
    SIEM | API Security | Log Management Software

    AI-Powered Security and IT Operations Without Compromise.

    Built on the Graylog Platform, Graylog Security is the industry’s best-of-breed threat detection, investigation, and response (TDIR) solution. It simplifies analysts’ day-to-day cybersecurity activities with an unmatched workflow and user experience while simultaneously providing short- and long-term budget flexibility in the form of low total cost of ownership (TCO) that CISOs covet. With Graylog Security, security analysts can:
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  • 5
    Finetune Transformer LM

    Finetune Transformer LM

    Code for "Improving Language Understanding by Generative Pre-Training"

    ...It documents that runs are non-deterministic due to certain GPU operations and reports a median accuracy over multiple trials that is slightly below the single-run result in the paper, reflecting expected variance in practice. The project ships lightweight training, data, and analysis scripts, keeping the footprint small while making the experimental pipeline transparent. It is provided as archived, research-grade code intended for replication and study rather than continuous development.
    Downloads: 3 This Week
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