ablation-study

There are 13 repositories under ablation-study topic.

  • georgian-io/LLM-Finetuning-Toolkit

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

    Language:Python710144784

  • logicalclocks/maggy

    Distribution transparent Machine Learning experiments on Apache Spark

    Language:Python89112014

  • gcunhase/EmbraceBERT

    Attentively Embracing Noise for Robust Latent Representation in BERT (COLING 2020)

    Language:Shell8210

  • spapicchio/Gamma-Telescope-Analysis

    Machine Learning analysis for an imbalanced dataset. Developed as final project for the course "Machine Learning and Intelligent Systems" at Eurecom, Sophia Antipolis

    Language:Jupyter Notebook2100

  • coderjolly/chest-x-ray-classification

    This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.

    Language:Jupyter Notebook1100

  • jihyeonseong/Capsule-on-TimeSeries

    Ablation Study of CapsuleNetwork on TimeSeries

    Language:Jupyter Notebook1101
  • re-sln

    mark-antal-csizmadia/re-sln

    Re-implementation of the paper titled "Noise against noise: stochastic label noise helps combat inherent label noise" from ICLR 2021.

    Language:Python11210

  • DonaldWolfson/Reddit-Prediction-Model

    Research project aimed at developing a prediction model to estimate the number of upvotes of a given Reddit post.

    Language:Jupyter Notebook00

  • jyanqa/aflt_project

    Course project for AFLT class, Spring 2022: Exploring SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines

    Language:Python00

  • mathieujcqs/adaptive_grad_clip_project

    Optimize ResNet Learning Process

    Language:Jupyter Notebook00

  • shreeyajoshi2013/KNN-CLassification-using-Abalone-Dataset

    KNN Classification on Abalone dataset and Ablation study on normalization of the data

    Language:Jupyter Notebook0100

  • tyrannorrec/CS6120-NLP-Final-Project

    Classified human and machine generated text using 1) a single score threshold classifier and 2) a neural network classifier approach, based on perplexities and probability scores generated from n-grams. Best results are 77% for the single score classifier and 80% for the ANN classifier.

    Language:Jupyter Notebook0100

  • ixsanpe/birdclef-2022-ablation

    Design of an ablation study for a Machine Learning pipeline. The effect of preprocessing, model or postprocessing modules can be automatically tested.

    Language:Python10