Search Results for "artificial intelligence lisp"
Sort By:
7 projects for "artificial intelligence lisp" with 2 filters applied:
-
Digital business card + lead capture + contact enrichmentShare digital business cards, capture leads, and enrich validated contact info - at events, in the field, and beyond. Powered by AI and our proprietary data engine, Popl drives growth for companies around the world, turning every handshake into an opportunity.
-
Build with generative AI, deploy apps fast, and analyze data in seconds—all with Google-grade security.Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes.
-
1
-
2
OpenPoplog is a multi-language, incrementally-compiled virtual machine-based development environment with its own extensive teaching and support material, supporting the languages Pop-11, Prolog, Common Lisp and ML on Unix, VMS, Linux and Windows.
-
3
This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.
-
4
CAIR is an e-learning project that allow users and subjects management. You can associate pupils and teachers to subjects and works for this subjects. There are special functionalities for those subjects related to Robocup development.
-
Odoo Business ApplicationsOdoo is a fully integrated, customizable, open-source software packed with hundreds of expertly designed business applications. Odoo’s intuitive database is able to meet a majority of business needs, such as: CRM, Sales, Project, Manufacturing, Inventory, and Accounting, just to name a few.
-
5
GACS (Genetic Algorithm Class Scheduler) aims to provide to academic institutions an efficient and automatic way to generate their time scheduling for the classes that will be imparted in an academic period.
-
6
Mantis Robotic project consists of an open-source sets of reusable C/C++ libraries for manipulation of diverse kinds of robots, mostly for educational purposes and hobbies.
-
7
Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
- Previous
- You're on page 1
- Next
