Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Net.py is a tool for learning about neural nets. Currently, it only allows the user to experiment with a Hopfield net. I am now extending it to cover the Kohonen net. I'd be pleased to receive suggestions and criticism.
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
pyCatalog is a Python, MySQL, wxPython, Reportlab application specifically usable in library and information centers. It simply produces book catalog and card catalog in pdf format rendered using reportlab. The program takes MARC file as its source data.
La P.A.P.A. (Python Alternative for Programming Astrophysics) want to give an alternative to the astrophysicists (and any one that use RSI-IDL) for start programming in Python using similar functions as IDL and at the same time learn the power of Python.
NTuple is a Python module used by high-energy physicists and astrophysicists to easily and efficiently access ntuple data stored in large ROOT data stores. Specifically, NTuple provides a friendly Pythonic interface to TNtuples and TTrees stored in TFiles
pyclashie is a software developed in python to show graphic view of code dependencies in, virtually, any programming language. The idea is to analize directories of source code, and search for class hierarchy and dependencies, writing them to .dot files.
Access competitive interest rates on your digital assets.
Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform.
Geographic restrictions, eligibility, and terms apply.
VFML -- Very Fast Machine Learning toolkit. A collection of tools, learners, and APIs for working with high-speed data streams and very large data sets.
Rocksnake takes localities from geological mapping projects and plots them in 2D, over an optional basemap. Each locality has all the standard geology notebook contents and photos attached to it which can then be viewed from Rocksnake.
HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
A ContextTree is a way of dynamically forming relationships between information: the same information can be viewed in different ways, depending on what you want from it.
Real-time data visualization. Graphically view your data as it's being generated. Peakster is a very intuitive GUI written entirely in Python, which monitors data at regular intervals and uses gnuplot to render 2D, 3D and superimposed plots.
Comparer is a document comparer program. The initial task of the comparer is to find the likeness of all documents given to it by generating a graph of all usable connections between documents.
Berlin/Bavarian Elektrotrom Cargo Concept Solver (BECCS) is a submission to the 2008 Informaticup Contest. It's a Web Application that constructs a euclidian steiner tree.
PyEsp - Enhanced/Evolving/Extensible Semantic Profiling.
This Python program will sort and filter search results by applying semantic profiling on web pages. The program will learn the user preferences and profiling will be done on the client computer.
Investigation the concept of speed knowledge acquisition through speed reading and visual display. The initial version should be based on the concept provided by Dictator and should be a variable speed reader, handling TeX formatted files. Project design