Ruben WinastwaninTowards Data ScienceText Generation with GPTHow to fine-tune a GPT model to generate a TED description-like text·18 min read·Jan 29, 2024--2--2
Ruben WinastwaninTowards Data ScienceEfficient Model Fine-Tuning with Bottleneck AdapterHow to fine-tune Transformer-based models with bottleneck adapters·14 min read·Nov 22, 2023--1--1
Ruben WinastwaninTowards Data ScienceText Classification with Transformer EncodersStep-by-step explanation of utilizing Transformer encoders to classify text·15 min read·Aug 11, 2023--2--2
Ruben WinastwaninTowards Data ScienceImage Classification with Vision TransformerHow to classify images with the help of Transformer-based model·13 min read·Apr 13, 2023----
Ruben WinastwaninTowards Data ScienceSemantic Textual Similarity with BERTHow to use BERT to calculate the semantic similarity between two texts·11 min read·Feb 15, 2023----
Ruben WinastwaninTowards Data ScienceInterpreting the Prediction of BERT Model for Text ClassificationHow to Use Integrated Gradients to Interpret BERT Model’s Prediction·13 min read·Dec 20, 2022--5--5
Ruben WinastwaninTowards Data ScienceData and Machine Learning Model Versioning with DVCDVC: It’s a Git, but for Our Data and ML Model·16 min read·Sep 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 text·11 min read·May 3, 2022--8--8
Ruben WinastwaninTowards Data ScienceAnalyzing Document Layout with LayoutParserHow to use LayoutParser library to detect the layout and extract texts from document images·9 min read·Jan 11, 2022--5--5
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 Optuna·10 min read·Dec 14, 2021--3--3
