Search Results for "machine learning platform" - Page 41
Sort By:
Showing 1039 open source projects for "machine learning platform"
View related business solutions-
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
Onyx is for rapid prototyping and large-scale experimentation on advanced machine-learning algorithms with an emphasis on algorithms for online or streaming analysis, modeling, and classification.
-
2
Simple program that helps in learning the Highway Code of Hungary called KRESZ. Written in Python, uses wxPython, runs on every platform that supports Python and wx.
-
3
-
4
Monte is machine learning in pure Python. Monte's focus is the construction of gradient based learning machines from many small components.
-
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
A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
-
6
NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
-
7
...I tried to render everything with OpenGL and as expected, found myself in the middle of a multitude of problems relating to it. The blocks look a lot cooler in 3d though, so I hope I'll manage to resume studying what went wrong and eventually fix it. If I had a Windows machine to do development on, I might try to rewrite everything in Unity, but until they make a Linux dev platform, I think I'll remain with pygame and pyOpenGL.
-
8
This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
-
9
Spider that recollects data from MySpace Social Network. At now, it is only designed to extract information from native american people because it is used for a social science study in the UNAM (Universidad Nacional Autónoma de México).
-
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
-
10
A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
-
11
A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.
-
12
Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence
-
13
Python Machine learning library with multi-core support. Wraps existing ML libraries in order to be able to run and analyse experiments with one front-end API. Currently supports MLP, GA, GP, ESN and RBF algorithms.
-
14
pygpr is a collection of algorithms that can be used to perform Gaussian process regression and global optimization.
-
15
-
16
Definir un entorno (medio ambiente) y a micro-organismos (gunus) que vivan en el y se desarrollen es el objeto de este proyecto.
-
17
-
18
LogoROS is new object-oriented operation system (currently in early development). See wiki page: https://sourceforge.net/apps/mediawiki/logoros/ and development blog: https://sourceforge.net/apps/wordpress/logoros/ for more info.
-
19
SF2 is a generic framework for constructing cloud computing platform. The framework provides snapshot-based replication, virtual machine placement on multiple sites, and gossip-based physical machine discovery.
-
20
This project is developing a modular framework for constructing machine intelligences. The modular approach allows for both rapid development of simple AI's and also construction of larger and more general learning based engines.
-
21
A program which retrieves TV program data and asks user which TV programs he / she'll watch that day. Using that data program learns the user preferences using machine learning algorithms (such as support vector machines).
-
22
Capivar Hunter is a simple 3d shooter written in Python/OpenGL intended as a learning platform to Game Development, Python and 3d Programming. Although it should be at least somewhat funny, the main objective of it is being simple and easy to extend.
-
23
Python SOAP is a free library implementing W3C's SOAP Protocol in the Python programming language. SOAP is an XML-based messaging protocol which is machine- and platform-independent.
-
24
Clipster is a very simple network clipboard that allows pasting text and images from a remote machine. It has been designed to be cross-platform from the ground up, but it needs help from you for that to happen!
-
25
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.