Search Results for "train" - Page 2
Sort By:
Showing 33 open source projects for "train"
View related business solutions-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
1
-
2
TNRK is a rpg engine for the PalmOS platform. Travel with your own character through endless worlds, lots of modules, unending stories,... while getting to or out of work, train, bus, etc...
-
3
Synthesises sound using 12 aliquots. Gradual change of pitch is possible. You can train your hearing of separate aliquots with this program. Sound generated with this program may be also used in electronic music or in tunning musical instruments.
-
4
ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Project Training System: Train all skills necessary during the development cycle of a software project. Communication between developers, testers, editors and users is technically supported by the sourceforge infrastructure. The project shall demonstrate
-
6
-
7
Gnome Panel applet that displays the time remaining before the next MBTA (Boston, MA) commuter rail train leaves from a station you specify.
-
8
Alchemist plugin
Alchemist GCC/LLVM plugin for code analysis and tuning
...It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. GCC plugin is licenced under GPLv3 licensed, while future LLVM plugins will be licensed under BSD license. Alchemist plugin is in a preliminary stage (based on MILEPOST ML plugin), so collaborations are very welcome!
