Search Results for "course"
Sort By:
Showing 19 open source projects for "course"
View related business solutions-
Build Agents and Models on One PlatformGemini 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.
-
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.
-
1
101-0250-00
ETH course - Solving PDEs in parallel on GPUs
This course aims to cover state-of-the-art methods in modern parallel Graphical Processing Unit (GPU) computing, supercomputing and code development with applications to natural sciences and engineering. -
2
DataFrames.jl
In-memory tabular data in Julia
...The package is actively maintained by the JuliaData community, with contributions from over 200 developers worldwide. It is widely used for data science, research, and production applications, supported by extensive documentation, tutorials, and a free Julia Academy course. Cited in academic literature and trusted by practitioners, DataFrames.jl is one of the core libraries for Julia’s growing data ecosystem. -
3
Bayesian Statistics
This repository holds slides and code for a full Bayesian statistics
This repository holds slides and code for a full Bayesian statistics graduate course. Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. -
4
Bayesian Optimization
Python implementation of global optimization with gaussian processes
This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic... -
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.
-
5
Self-learning-Computer-Science
Resources to learn computer science in your spare time
...The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. It’s aimed at learners who find traditional course structures restrictive and want a flexible, self-paced path through CS, with a focus on building depth and breadth rather than shortcut exam skills. The repository provides a roadmap, references, teaching materials, and sometimes the author’s own project examples, offering both guidance and community support. Because the CS field is broad, the structure helps learners allocate study time, avoid duplication, and benefit from “best in class” resources instead of randomly browsing. -
6
Indicators.jl
Financial market technical analysis & indicators in Julia
...This package has been written to be able to interface with both native Julia Array types, as well as the TS time series type from the Temporal package. Contributions are of course always welcome for wrapping any of these functions in methods for other types and/or packages out there, as are suggestions for other indicators to add to the lists. -
7
Deep Learning course
Slides and Jupyter notebooks for the Deep Learning lectures
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion. -
8
ConstraintSolver.jl
ConstraintSolver in Julia
This package aims to be a constraint solver completely written in Julia. The concepts are more or less fully described on my blog OpenSourc.es. There is of course also the general user manual here which explains how to solve your model. -
9
Julia Data Science
Book on Julia for Data Science
This is an open source and open access book on how to do Data Science using Julia. Our target audience are researchers from all fields of applied sciences. Of course, we hope to be useful for industry too. You can navigate through the pages of the ebook by using the arrow keys (left/right) on your keyboard. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
10
The application helps you with your statistics assignment help. Our Stata assignment help is popular among students following course economics and political science. We offer R assignment help for data analysis as well as graphical user interface although SPSS looks a lot like excel but mostly students avail our excel assignment help for small datasets and SPSS assignment help for larger datasets. For assistance you can email us at info@statisticshomeworkhelper.com .
-
11
Deep Learning with PyTorch
Latest techniques in deep learning and representation learning
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include DS-GA 1001 Intro to Data Science or a graduate-level machine learning course. -
12
MDPP
The Biozentrum Micrograph Data Processing Program (MDPP)
...It contains program to process data in a number of ways including many averaging methods, statistical methods and reconstruction schemes. The programs are not limited to micrograph data of course, but can be applied to images of all types. -
13
CVDdb
Cerebrovascular Disease database
...Development is by the BRAINS imagebank team : (http://www.brainsimagebank.ac.uk/, Job et al., 2016) Job et al., 2016. A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS). http://dx.doi.org/10.1016/j.neuroimage.2016.01.027 Das et al, 2011. LORIS: a web-based data management system for multi-center studies. Frontiers in Neuroinformatics (5:37). -
14
Data Science Specialization
Course materials for the Data Science Specialization on Coursera
The Data Science Specialization Courses repository is a collection of materials that support the Johns Hopkins University Data Science Specialization on Coursera. It contains the source code and resources used throughout the specialization’s courses, covering a broad range of data science concepts and techniques. The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans... -
15
Cybervision - 3D reconstruction software
Cybervision is a 3D reconstruction software for SEM images
...It's an abandoned project, but can be useful as a working example for many, many technologies, such as: * Qt (including threads, vectors, graphics and OpenGL) * Eigen library (http://eigen.tuxfamily.org/) * libsift library (https://sourceforge.net/projects/libsift/) * OpenCL and of course, 3D reconstruction in general. -
16
The MetaRigging Toolkit is the course material for the Bungie Autodesk MasterClass: Process Automation for Massive Games. It includes an example demonstration set of rigging tools for Autodesk Maya written in MEL Script.
-
17
Book-A-Lyze is an open source web application for analysis and visualization of social structures at Facebook. The project is part of the study course “Media Management and Production” at the University of Applied Sciences, Kaiserslautern.
-
18
Petri Nets Editor
Simple petri net editor
...It allows you to build reachability tree with/without instant transitions and Markov chains. It is also possible to set transition distributions and set all the parameters of the current distribution. This project was made as a course project at NTUU "KPI" during attending classes "Computer modelling". Feel free to make any changes to the current version or ask me if you have any question. -
19
SCTMF is an in development progress software aimed to educational learning of Formal Models, used in Computer Theory course. The meaning of SCTMF is Sistema para Criação e Testes de Modelos Formais (Formal Model Creation and Tests System).
- Previous
- You're on page 1
- Next