Showing 3 open source projects for "batch text processing"

View related business solutions
  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
    Try Free
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • 1
    Hangfire

    Hangfire

    An easy way to perform background job processing

    An easy way to perform background processing in .NET and .NET Core applications. No Windows Service or separate process required. Backed by persistent storage. Open and free for commercial use. Easy to set up, easy to use. No Windows Service, no Windows Scheduler, no separate applications required. Background jobs are regular static or instance .NET methods with regular arguments, no base class or interface implementation required. Once a background job was created without any exception,...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2

    SmGen

    Verilog Finite State Machine (FSM) Code Generator

    SmGen is a finite state machine (FSM) generator for Verilog. On the other hand, it is not an FSM entry tool. The input is behavioral Verilog with clock boundaries specifically set by the designer. SmGen unrolls this behavioral code and generates an FSM from it in synthesizable Verilog. Clock boundaries are explicitly provided by the designer so there is good control on the expected timing
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    An ethernet sniffer for BrainNet36®

    An ethernet sniffer for the EEG acquisition system BrainNet36®

    ...BrainNet36® has 36 channels, A/D converters with 16 bit accuracy, conversion time of 10 µs and Ethernet communication interface. Being a device for clinical purposes, BrainNet36® does not export data online. This sniffer was developed to allow online processing by working in promiscuous mode and recording data in a plain text file.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB