Showing 2 open source projects for "machine learning"

View related business solutions
  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
    Try free now
  • Cloud-based help desk software with ServoDesk Icon
    Cloud-based help desk software with ServoDesk

    Full access to Enterprise features. No credit card required.

    What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
    Try ServoDesk for free
  • 1
    HydraDragonAntivirus

    HydraDragonAntivirus

    Dynamic and static analysis with Sandboxie for Windows, including EDR

    Dynamic and static analysis with Sandboxie for Windows, including EDR, ClamAV, YARA-X, custom machine learning AI, behavioral analysis, NLP-based detection, website signatures, Ghidra, Suricata, Sigma, and much more than you can imagine
    Downloads: 15 This Week
    Last Update:
    See Project
  • 2
    Malware Classifier

    Malware Classifier

    Perform quick, easy classification of binaries for malware analysis.

    Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next