Search Results for "visual basic"
Sort By:
Showing 3 open source projects for "visual basic"
View related business solutions-
Our Free Plans just got better! | Auth0You 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.
-
Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
-
1
NeuroSolutions: Formula Generator
Utility converts the weights file of a MLP Breadboard into a formula
The NeuroSolutions: Formula Generator utility converts the weights file of a default MLP breadboard (1-hidden layer with a TanhAxon in the hidden layer and either a TanhAxon or BiasAxon in the output layer) into a usable formula that can be copied and pasted into your own programs to compute the output of the trained neural network. -
2
Project CIF(Core Information Foundation)
c++ and c library to help build win32 software and others platforms
The project CIF now created with new philosophy of JPM (Joint Project Module) with SDK style. Now simply include CIF.h and use all of functions, macros and classes. BTS (Basic Text Support) Library Used in TOM (Text Object Module). TOM for now with CAnsiString , CAnsiStringLite And Text namespace. CAnsiString created with more functionality then typical string and text classes. EVS (Enhanced Visual Support) provide COpenFileDialog And CSaveFileDialog. JCM (Joint Core Module) used as base in project. Properly support for a class available TPT (Template Properly Type) and VTM (Value Type Macro). ... -
3
The project will be looking at data (the intention is to begin looking at customer name/address data but this may widen over time) and ways to intelligently detect duplicates using fuzzy matching methods and algorithms.
- Previous
- You're on page 1
- Next
