Search Results for "dot"

DLRM (Deep Learning Recommendation Model) is Meta’s open-source reference implementation for large-scale recommendation systems built to handle extremely high-dimensional sparse features and embedding tables. The architecture combines dense (MLP) and sparse (embedding) branches, then interacts features via dot product or feature interactions before passing through further dense layers to predict click-through, ranking scores, or conversion probabilities. The implementation is optimized for performance at scale, supporting multi-GPU and multi-node execution, quantization, embedding partitioning, and pipelined I/O to feed huge embeddings efficiently. ...

python-benedict is a dict subclass with keylist/keypath/keyattr support, I/O shortcuts (base64, cli, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml) and many utilities... for humans, obviously.

Void is a custom MkDocs theme that blends the translucent, layered aesthetics of Glass design system with the minimal, industrial clarity of NothingOS. It combines pure black canvas, glass morphism panels, dot-matrix typography, and Nothing Red accents into a cohesive documentation experience.

...For a quickstart guide to training a standard NMT model on any size of data, see the WMT 2014 English-German tutorial. If you are interested in collaborating or have any questions, please submit a pull request or issue. You can also send questions to sockeye-dev-at-amazon-dot-com. Developers may be interested in our developer guidelines. Starting with version 3.0.0, Sockeye is also based on PyTorch. We maintain backwards compatibility with MXNet models of version 2.3.x with 3.0.x. If MXNet 2.x is installed, Sockeye can run both with PyTorch or MXNet. All models trained with 2.3.x (using MXNet) can be converted to models running with PyTorch using the converter CLI (sockeye.mx_to_pt).

CommandlineConfig is a lightweight Python library designed to simplify managing configuration parameters for experiments and applications, especially in research workflows that require frequent tweaking of hyperparameters. It lets you define configuration in familiar Python dictionaries or JSON files and then access nested parameters via dot notation in code, improving readability and reducing boilerplate. One of its core strengths is the ability to override configuration values directly from the command line, making it convenient to run many experimental variants without editing files repeatedly. The library supports arbitrarily deep nested structures, type handling, enumerated value constraints, and even tuple types, which are common in ML experiment setups. ...

...The result is a space-separated tokens file, where the words and the numbers are separated, but not the sequences of punctuation (ie, an ending parenthesis followed by a dot). The sentence segmentation is done at usual punctuations such as dots, commas, interrogation/exclamation marks, and line end as well. The partition process is done by shuffling groups of sentences then dividing each group into three parts (Train/Val/Test) and storing them in individual files. The original Tashkeela dataset is available at https://sourceforge.net/projects/tashkeela/

Multi Whois is a small whois domain name search program capable of finding bulk domains via a wordlist file or specific domains provided by the user. It's a good way to search for domains that are available to buy. The wordlist format consists of a domain name per line with or without the .dot tld.. Examples below google yahoo foobar Note:Must select a tld from the dropdown box or google.com yahoo.net foobar.guru

...N.Tesla is short for Numerical TransiEnt SimuLAtor for power system and is in memory of Nikola Tesla, one the greatest scientists in alternating current power system. If you have any questions, please contact the author by send email to [lichgang AT gmail DOT com] or leave feedback in the Discussion forum. Mailing List for N.Tesla: http://www.freelists.org/list/ntesla Mailing List for N.Tesla Developer: http://www.freelists.org/list/ntesla-dev

Also visit official website nehulsinghide.blogspot.in Writes applications in languages including C#, VB.NET, F#, IronPython and IronRuby, as well as target rich and reach: Windows Forms or WPF, as well as ASP.NET MVC and WCF. It starts from USB drives, supports read-only projects, comes with integrated unit and performance testing tools, Git, NuGet and a lot more features that make you productive as a developer.It ships with a lots of new features of code completion and snippet...

Laboratory notebook using version control system and independent date-time stamping (as notarization), in order to ensure record accountability, auditing, and conforming to US FDA 21 CFR 21's rule on electronic records. Please kindly rate this application or drop me an email at [ mauriceling AT acm DOT org ] so that I can hear from you. Otherwise, I have no idea who the users are. Please kindly help.

PyCDep is a tool to analyze include dependencies between files in C and C++ programs. PyCDep itself is written in python. It dumps all the facts in a prolog database which can be queried. Visualization is possible by dumping graphviz (.dot) files.

Project to manage xenserver/xcp (xen cloud platform) virtual machines with web (similar to xencenter) Sorry guys, but this project is dead. You are free to clone and use the same name. Contact to me if you want in alberto at pesadilla dot org

mfGraph is a graph rendering library for interactive applications. Written in C++ and Python, mfGraph parses GraphViz DOT and XDOT files and provides rendering and hit-testing facilities. Supports Microsoft Windows natively, GNU/Linux through wxPython.

A tool written for the Blender API in the Python Language for Second Life primitives. All code is 100% original. Second Life and LSL are the property of Linden Lab. Blender is the property of the Blender Foundation. No infringement is intended.

A python wrapper for Local Delivery Agents (for example, maildrop), which allows an unlimited number of extensions on a mail account with dot-qmail-like functionality.

pyclashie is a software developed in python to show graphic view of code dependencies in, virtually, any programming language. The idea is to analize directories of source code, and search for class hierarchy and dependencies, writing them to .dot files.