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RLTF

Zyq-scut/RLTF

Accepted by Transactions on Machine Learning Research (TMLR)

GraphCanon updated Oct 7, 2026 · GitHub synced Oct 7, 2026

12views this month

134 stars7 forksLast push Oct 5, 2024 Python BSD-3-Clause

Decision brief

RLTF implements reinforcement learning for text generation using elements from CodeRL, APPS, and transformers.

Good fit when

  • Use RLTF when you need advanced Reinforcement Learning models specifically tuned for text generation tasks.
  • If your project builds upon the work of CodeRL or APPS and requires seamless integration with transformer-based architectures.

Avoid when

  • Avoid RLTF if your project does not require reinforcement learning techniques, especially focused on text generation.
  • Do not use this tool if your work is incompatible with components from CodeRL, APPS, or transformers.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (731d since push)
As of Oct 7, 2026
Provenance
Not a fork · Personal account
As of Oct 7, 2026
Security (OSV)
75 low (75 low)
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install RLTF
PyPI

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A repository implementing reinforcement learning techniques for text generation, incorporating elements from CodeRL, APPS, and transformers.

Capability facts

Languages
python

Source: github.language · Oct 7, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Oct 7, 2026)

`pip install -r requirements.txt`
Source link

Tags

README

Installation The code requires some dependencies as specified in . Please follow the relevant libraries to install or run: License The code is released under BSD 3 Clause see for details. This code is developed from other open source projects: including CodeRL, APPS, and transfor...

For agents

This page has a .md twin and JSON over the API.

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