My sole projects in the area of artificial intelligence and machine learning are described here. Many
of them are allowed for downloading and limited trial evaluation. Follow
correspondent link in description column for more information.
Projects
The research project Multiplying Table LLM is focused on discovery and explanation
of how large lanfuage models can be simplified for particular simple tasks
and which their elements can be improved for this purpose.Read more...
LLM Code: Python 3 Software: Microsoft Excel™ Hardware: Nvidia GeForce™
The research project AlexNet is focused on discovery and explanation
of how convolution layers
and fully connected layers provide recognition of depicted information.Read more...
PoC application to parse Java code into internal AI structures. Read more...
Software: Java 2 Standard Edition (J2SE) 17 Client: JavaFX user interface Database: Neo4j 5 Project: Gradle
Atomic Parser™ is a Java code to compile arbitrary input
stream into collection comprising one or more so called "parse trees". Each
parse tree is a structured representation of input
stream in terms of its syntax. Read more...
⚠️ The code is intended for familiarization purposes only. Downloading
and running executables is at your own risk and excludes any liability on
my part for any direct or indirect damages. Using all the files for any
other purposes is not permitted.
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