Ruben WinastwaninTowards Data ScienceText Generation with GPTHow to fine-tune a GPT model to generate a TED description-like textJan 292Jan 292
Ruben WinastwaninTowards Data ScienceEfficient Model Fine-Tuning with Bottleneck AdapterHow to fine-tune Transformer-based models with bottleneck adaptersNov 22, 20231Nov 22, 20231
Ruben WinastwaninTowards Data ScienceText Classification with Transformer EncodersStep-by-step explanation of utilizing Transformer encoders to classify textAug 11, 20232Aug 11, 20232
Ruben WinastwaninTowards Data ScienceImage Classification with Vision TransformerHow to classify images with the help of Transformer-based modelApr 13, 20231Apr 13, 20231
Ruben WinastwaninTowards Data ScienceSemantic Textual Similarity with BERTHow to use BERT to calculate the semantic similarity between two textsFeb 15, 2023Feb 15, 2023
Ruben WinastwaninTowards Data ScienceInterpreting the Prediction of BERT Model for Text ClassificationHow to Use Integrated Gradients to Interpret BERT Model’s PredictionDec 20, 20225Dec 20, 20225
Ruben WinastwaninTowards Data ScienceData and Machine Learning Model Versioning with DVCDVC: It’s a Git, but for Our Data and ML ModelSep 20, 2022Sep 20, 2022
Ruben WinastwaninTowards Data ScienceNamed Entity Recognition with BERT in PyTorchHow to leverage a pre-trained BERT model for custom data to predict the entity of each word in a textMay 3, 20228May 3, 20228
Ruben WinastwaninTowards Data ScienceAnalyzing Document Layout with LayoutParserHow to use LayoutParser library to detect the layout and extract texts from document imagesJan 11, 20226Jan 11, 20226
Ruben WinastwaninTowards Data ScienceHyperparameter Tuning of Neural Networks with Optuna and PyTorchHow to find that perfect neural networks model for our use case with the help of OptunaDec 14, 20213Dec 14, 20213