An Efficient, Scalable, Multi-Modality RL Training Framework
...The project’s philosophy is practicality: sensible defaults, one-command recipes, and compatibility with popular base models let you stand up experiments without wrestling infrastructure. It emphasizes memory-efficient training strategies so you can train long-context or reasoning-dense models on commodity GPUs. The framework is also organized to help you compare training strategies (e.g., pure SFT vs. preference optimization) so you can see what actually moves metrics in math, code, and multi-step reasoning. For teams exploring open reasoning models, EasyR1 provides an opinionated yet flexible path from dataset to deployable checkpoints.
Utilities for platform indepentent low-level system APIs.
...The more complex and complete data packages are provided for higher application layer
functionality.
The current release contains:
* *yapyutils.modules*
A utility to locate and load modules by a given name and/or file system path name,
based on the *sys.path* variable.
* *yapyutils.files*
Search and location of files, e.g. modules and configuration files.
* *yapyutils.help*
Simple help for command line interfaces.
* *yapyutils.config*
Configuration file support, in particular for the initial setup of software packages.
Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.