Search Results for "code::blocks sample"

...The Algorithms package includes a host of powerful, generic algorithms frequently found in other popular programming languages. We hope this new package will help people embrace algorithms, improving the correctness and performance of their code. With the Algorithms package’s initial set of sequence and collection operations, you can cycle over a collection’s elements, find combinations and permutations, create a random sample, and more. One inclusion is a pair of chunked methods, each of which break a collection into consecutive subsequences. One version tests adjacent elements to find the breaking point between chunks, you can use it to quickly separate an array into ascending runs.

The “NTU RGB+D” repository provides access to a large-scale dataset for human action recognition (and its extension, NTU RGB+D 120). The dataset includes multiple modalities (RGB video, depth sequences, infrared video, 3D skeletal joint data) captured with multiple Kinect v2 cameras simultaneously. The repository also contains MATLAB / Python demo scripts for loading, visualizing, and processing skeleton data, mapping between modalities, and handling dataset structure. Multi-modal action...

The supervised-reptile repository contains code associated with the paper “On First-Order Meta-Learning Algorithms”, which introduces Reptile, a meta-learning algorithm for learning model parameter initializations that adapt quickly to new tasks. The implementation here is aimed at supervised few-shot learning settings (e.g. Omniglot, Mini-ImageNet), not reinforcement learning, and includes scripts to run training and evaluation for few-shot classification.

PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. It keeps dependencies minimal so learners can focus on the math, implementation, and behavior of each robotics method....

This is showcase program, with source code and sample data included for fast peak detection algorithm. It is great tool for entry level, automated analisys, to discard empty and junk curves and save only ones matching required criteria. Assuming that only 1% of data is worth reviewing, and that manual selection takes approx. 3 seconds per curve, you can save up to 8 hours per every 10000 curves (like 2 days every week!).

...As a by-product of training, a tree structure performs either exact or approximate quantization on trained centroids, the latter being not very precise but extremely fast. A detailed README file describes the usage of the software, including license, requirements, installation, file formats, sample data, tools, and options. With the sample data provided and the default options, it is possible to test the code immediately as a demo. DRVQ has a 2-clause BSD license. Please refer to the DRVQ software home page, the research project, or the original publication for more information. The latest code is available at github.

Sample code, algos, what you got?

jsGorithm is a Javascript algorithm execution viewer that can be used as an educative tool for introductory courses on programming and algorithmics, with programs written in a subset of C/C++/Javascript. It can be used for teaching and learning.

"UltraQueue" is a library (DLL) project, written in C++. This library is intended to be used for very fast temporary data storage, aquired by any possible source (File, Serial Port, ...). Users can create multiple queues of differrent sizes & types