DecisionTransformerInterpretability
by jbloomAus
Interpreting how transformers simulate agents performing RL tasks
AI summary
Transformer Explainability Tool
An open-source project that provides tools and utilities to understand how transformers are used in reinforcement learning tasks.
- stars
- 75
- forks
- 17
- watching
- 4
Similar projects
Found by comparing what the projects do, not just their names.
Classifier explainer
An R package for providing explanations of predictions made by black box classifiers.
Explainer
An R package and workshop materials for explaining machine learning models using explainable AI techniques
Model decipherer
A library for reverse engineering the algorithms learned by large language models from their weights
Explainers
Provides a method to generate explanations for predictions made by any black box classifier.
NLP tutorial
A comprehensive guide to using the Transformers library for natural language processing tasks
Transformer framework
Provides a unified interface to various transformer models implemented in C/C++ using GGML library
Transformer library
An implementation of transformer models in PyTorch for natural language processing tasks
Concept explanation tool
An interpretability method that provides explanations for neural network predictions by highlighting high-level concepts relevant to classification tasks.
Explainability toolkit
An eXplainable AI toolkit for evaluating and interpreting neural network explanations in various deep learning frameworks.
Neural networks library
An implementation of deep neural network architectures, including Transformers, in Python.
Transformer models
An implementation of deep learning transformer models in MATLAB
Transformer model converter
Converts popular transformer models to run on Android devices for efficient inference and generation tasks.
jlevy/repren355
Text renamer
A command-line tool for mass-replacing text patterns in files and renaming directories recursively.
String transformer
A command-line utility for transforming strings using various encoding and decoding algorithms.
Transformer model
An implementation of Reformer, an efficient Transformer model for natural language processing tasks.
