Search Results for "patterns"

...It therefore does not count towards the three-device limit for Basic Dropbox accounts. Exclude local items from syncing by placing a .mignore file in the Dropbox root with patterns matching any number of items.

Enhanced Windows versions of the basic Unix file management tools (ls, cp, rm) that can handle recursive wildcards.

THIS VERSION HAS A TABLE VIEW FOR SYSTEMS THAT DO NOT SUPPORT LARGE GRAPHIC DISPLAYS SUCH AS LOW-END LAPTOPS. CHECK OUT ft8mapper FOR BETTER GRAPHICS AND GRID TRACKING. Filt8 - v3.6 release - Requires Python 3.x (3.10 or higher on Mac) Scrollable maps for small screens State data as of Feb 25, 2024. Map saves settings. Map features: filter by band, click to Lookup. Offline Maps to show station grid locations as you decode them in real-time (Check out js8mapper project on ...

...HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed). ...

...You can put all letters documents into one folder, all images with the word home into another, all music by one artist in yet another folder, etc. Sorter organises these files into folders which are grouped according to one or more of the following patterns: a common word in the file names, the file type/format, a custom name and the category of the file formats.

...Provides the assembly of modular patch entries and the serialization of resulting patch lists. - JSONDiff - Diff utility for JSON data. - JSONSearch - Search utility JSON patterns. Online documents: https://jsondata.sourceforge.io/

...The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse patterns to scale better. The repo implements both blocksparse and blockwise convolution/transpose-convolution primitives, with support for preparing, executing, and verifying those ops on NVIDIA GPUs. ...

The main idea of this project – to implement the solution that can be used to: construct custom network mesh or distributed network cluster structure with several relations types between nodes, formalize the data flow processing goes from upper node level central source point to down nodes and backward, formalize the management requests handling from multiple source points, support native reducing of multiple nodes results (aggregation, duplicates elimination, sorting and so on), internally support powerful full-text search engine and data storage, provide transactions-less and transactional requests processing, support flexible run-time changes of cluster infrastructure, have many languages bindings for client-side integration APIs in one product build on C++ language... Also, HCE includes the highlighter application. This is utility to get fast parallel multi-algorithmic textual patterns highlighting. It provides cli UI, works as filter console tool and uses json format of prot

Pexpect is a Python module for spawning child applications; controlling them; and responding to expected patterns in their output. Pexpect can be used for automating interactive applications such as ssh, ftp, passwd, telnet, etc. Pexpect is pure Python. Note that Pexpect development has moved to Github: https://github.com/pexpect/pexpect

python enteprise integration framework project. Powerfull class library based on EAI patterns and a modeling and simulation tool.

a distributed engine for abstract neural network development via natural-language programming