Showing 4 open source projects for "handwriting recognition source code"

View related business solutions
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Start Free
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Start Free
  • 1

    Leibnitz

    Electronic paper for computations and graphs

    Leibnitz is the calculator you've always wanted (even if you didn't know it!), short of handwriting recognition. FAQ: https://github.com/jafl/leibnitz/blob/main/README.md ChangeLog: http://leibnitz.sourceforge.net/ChangeLog.html
    Downloads: 3 This Week
    Last Update:
    See Project
  • 2
    Hello AI World

    Hello AI World

    Guide to deploying deep-learning inference networks

    Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 3
    wav2letter++

    wav2letter++

    Facebook AI research's automatic speech recognition toolkit

    First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 4
    QJDicExample

    QJDicExample

    QJDicExample is an English <-> Japanese dictionary.

    QJDicExample is an Japanese to English and English to Japanese dictionary featuring words/names/kanji/sentences search. QJDicExample uses JMdict, JMnedict, Kanjidic2, Radkfilex, KanjiVG, Tanaka Corpus / Tatoeba databases for translations and zinnia recognition library for handwritten kanji recognition. Latest source code: git clone git://git.code.sf.net/p/qjdicexample/code qjdicexample-code
    Downloads: 0 This Week
    Last Update:
    See Project
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • Previous
  • You're on page 1
  • Next