Search Results for "python neural network"

...Features include: * Threading & synchronization * Socket programming: SSL, NanoMsg & ZMQ * File I/O utilities: zlib, ini, yaml * Native Database access: MySQL, SQLite, BerkleyDB, Postgre, REDIS and ODBC * Built-in mini XML parser; optional EXPAT, LIBXML and MSXML support * Network protocol stack: HTTP, FTP, SMTP, POP3, SOAP, XMLRPC * Scripting languages: Perl, Python, JavaScript, VBScript, Java, Lua, TCL, Squirrel * Cloud Computing: AWS * Encryption: OpenSSL * Platforms: Linux/Posix, Windows, Arduino * Over 500+ highly reusable classes. 4000+ fully documented functions. Follow the 'Wiki' link above to explore everything about the framework.

The libptpmgmt Project provides a library to communicate with LinuxPTP using IEEE 1558 management messages over a network.

ResNeXt is a deep neural network architecture for image classification built on the idea of aggregated residual transformations. Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together. Each branch is a small transformation (e.g. bottleneck block) and their outputs are summed—this enables richer representation without excessive parameter blowup. ...

Cross-platform python dynamic bindings of GObject-based libraries for Windows 32-bit and 64-bit.

char-rnn is a classic codebase for training multi-layer recurrent neural networks on raw text to build character-level language models that learn to predict the next character in a sequence. It supports common recurrent architectures including vanilla RNNs as well as LSTM and GRU variants, letting users compare behavior and output quality across model types. It is straightforward: you provide a single text file, train the model to minimize next-character prediction loss, then sample from the trained network to generate new text one character at a time in the style of the dataset. ...

...SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research.

Zen Worlds is an object oriented C++ virtual worlds / MMO game engine framework. This project includes Zen Engine game engine client, Zen Enterprise, an Enterprise Service Bus, and a C++ Application Server, and Zen Studio, a game development IDE.

The main purpose of the Moonlight Engine is to be a general 2D game engine geared towards tile-based games, and RPGs specifically. Support for online games is also planned.

An attempt at a Xanalogical Web, comprised of a CGI system with both native and HTML interfaces, a set of standards, a backend supporting Transclusion, versioning, and a custom browser with support for Transpointing and editing.