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Run Any Workload on Compute Engine VMs
From dev environments to AI training, choose preset or custom VMs with 1–96 vCPUs and industry-leading 99.95% uptime SLA.
Compute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking
...The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time. The repo is marked “no longer maintained,” and has been superseded by newer versions of Gait-Tracking. Capability to compare walking trajectories in experiments. Integration of IMU data (accelerometer + gyroscope).
Mixed Integer Linear Programming (MILP) solver lp_solve solves pure linear, (mixed) integer/binary, semi-cont and special ordered sets (SOS) models.lp_solve is written in ANSI C and can be compiled on many different platforms like Linux and WINDOWS
This project is moved to github: https://lp-solve.github.io/
**NOTE**: The WALA project is now hosted at https://github.com/wala/WALA; the latest source code and updates are available there. The code here on Sourceforge is highly out of date and unsupported.
The T. J. Watson Libraries for Analysis (WALA) provide program analysis capabilities for Java bytecode and related languages. The WALA libraries constitute an open-source release of parts of IBM Research's DOMO analysis infrastructure.
Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
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An interactive binary search tree. The user may interact with the tree by performing rotations, balancing, insertions, and deletions. For educational purposes
LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.
Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!
K-automaton is a new parsing (syntactic analysis) machine isomorphous to language. Implemented in Java. Can generate Java code from grammars described in EBNF.
The Catalsyt Framework is a refinement on the MVC framework. It provides greater focus on user business workflow rather than application workflow. It's goal is to enable business analysis and developers to work closer.
Migrate from Snowflake, Databricks, or Redshift with free migration tools. Exabyte scale without the Exabyte price.
BigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.