Popular GitHub Repositories for Ablation

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Distribution transparent Machine Learning experiments on Apache Spark

Model Ablation Tool-Kit for Deep Learning Model

An ablation study on the transformer network for Natural Language Processing

This repository presents an in-depth study of SummaRuNNer (ablation and replacement study) and also presents SummaRuNNer's results on NYT50 and part of the French wikipedia, as well as the influence of the length of the summary in relation to the document on performance.

? Automated neural network ablation studies using LLM agents and LangGraph. Systematically remove components, test performance, and gain insights into architecture importance through an intelligent multi-agent workflow.

Model performance and tuning analysis conducted on the CIFAR10 and CIFAR100 datasets. Convolutional Neural Network (CNN), Gated Multilayer Perceptron (gMLP), and Vision Transformer (ViT) model architectures are utilized. The study is built using PyTorch, PyTorch Lightning, and Optuna. MLflow, DVC, YAML files and the Hydra framework are used.

Targeted semantic multimodal input ablation. Official implementation of the ablation method introduced in the paper: "What Vision-Language Models 'See' when they See Scenes"

End-to-end pipeline for LLMs to fact-check complex statements, with evaluations and ablation studies across GPT-4, Calude Sonnet 3.5, LLaMa 3, etc.