Showing 3 open source projects for "data quality cleansing"

View related business solutions
  • One Monitoring Tool for IT, OT and Cloud | Free Trial Icon
    One Monitoring Tool for IT, OT and Cloud | Free Trial

    Vendor-agnostic monitoring across on-prem servers, cloud platforms and OT devices, all in one dashboard. No more tool sprawl.

    Modern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
    Try PRTG Free
  • Build Data Resilience - Take the Assessment Today Icon
    Build Data Resilience - Take the Assessment Today

    Can you recover when it matters most? Take this quick assessment to identify gaps and build greater recovery confidence.

    Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
    Take the Assessment
  • 1
    Mozilla JPEG Encoder Project

    Mozilla JPEG Encoder Project

    Improved JPEG encoder

    MozJPEG improves JPEG compression efficiency achieving higher visual quality and smaller file sizes at the same time. It is compatible with the JPEG standard, and the vast majority of the world's deployed JPEG decoders. MozJPEG is compatible with the libjpeg API and ABI. It is intended to be a drop-in replacement for libjpeg. MozJPEG is a strict superset of libjpeg-turbo's functionality. All MozJPEG's improvements can be disabled at run time, and in that case it behaves exactly like...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    The Introspector enables the programming tools that deal with source code such as the compiler to communicate in a standard and neutral manner reducing the accidental cost of programming. http://github.com/h4ck3rm1k3/
    Downloads: 4 This Week
    Last Update:
    See Project
  • 3
    Multilayered feed-forward neural network software written in C++. Backpropagation and RPROP are available as training algorithms. Design goals: speed of execution when calculating the output to new data, and quality of training (preprocessing: PCA).
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next