Search Results for "javascript open source" - Page 2
Sort By:
Showing 31 open source projects for "javascript open source"
View related business solutions-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI Studio. Switch between models without switching platforms.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
JLink lets users author flow charts based on ISO 5807 and IBM standards. Developers can use JLink to add flowcharts to applications, serve a flow chart over the web in PDF or PNG, or dynamically create a flowchart with Javascript, Python or Ruby scripts
-
2
-
3
This is a collection of tools for IEEE 1516 HLA FOM (FDD) files, including a fom-to-html converter with cross reference and minimal validation.
-
4
this is a small project which provides several mathematical function useful for a chemist or somebody working with mass specs. The goal is to provide several cuda and c based functions which can be easily accessed using java, groovy and python.
-
Build on Google Cloud with $300 in Free CreditStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
-
5
Predictive Networks
Web application providing analysis of biomedical relationships.
Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com). -
6
An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.
