Ketan DoshiinTowards Data ScienceFoundations of NLP Explained — Bleu Score and WER MetricsA Gentle Guide to two essential metrics (Bleu Score and Word Error Rate) for NLP models, in Plain EnglishMay 9, 202110May 9, 202110
Min Jean ChoinPyTorchGrokking PyTorch Intel CPU performance from first principlesA case study on the TorchServe inference framework optimized with Intel® Extension for PyTorch*.Apr 28, 2022Apr 28, 2022
Cory MaklininTowards Data ScienceAffinity Propagation Algorithm ExplainedAffinity Propagation was first published in 2007 by Brendan Frey and Delbert Dueck in Science. In contrast to other traditional…Jul 1, 20194Jul 1, 20194
Abhishek SharmainTowards Data SciencePyTorch JIT and TorchScriptA path to production for PyTorch modelsNov 10, 20205Nov 10, 20205
Arjun SarkarImplementation of all Loss Functions (Deep Learning) in NumPy, TensorFlow, and PyTorchIn this article, all common loss functions used in Deep Learning are discussed, and they are implemented in NumPy, PyTorch, and TensorFlowMar 17, 20232Mar 17, 20232
Arjun SarkarinTowards Data ScienceBuild your own Transformer from scratch using PytorchBuilding a Transformer model step by step in PytorchApr 26, 202313Apr 26, 202313
Chan Woo KiminTowards Data Science[New Hugging Face Feature] Constrained Beam Search with 🤗 TransformersA new Hugging Face feature allows you customize and guide your language model outputs (like forcing a certain sequence within the output).Mar 22, 2022Mar 22, 2022
Kabir AhujainThe StartupHow to use Pytorch Dataloaders to work with enormously large text filesPytorch’s Dataset and Dataloader classes provide a very convenient way of iterating over a dataset while training your machine learning…Oct 4, 20195Oct 4, 20195
Coleman HindesBeyond Few-Shot Learning: Fine-tuning with GPT-3For this article I’m going to assume you have some background knowledge on GPT-3, a large text generation and classification model created…Jul 14, 20212Jul 14, 20212
Josue NascimentoinIA em Saúde: NeuralMedDistillation Bert model with Hugging Face.BERT is a bidirectional transformer model, pre-training with a lot of unlabeled textual data to learn language representations that can be…Jul 17, 20211Jul 17, 20211
Javier IdeamiinTowards Data ScienceTowards the end of deep learning and the beginning of AGIHow recent research points the way towards defeating adversarial examples and achieving a more resilient, consistent and flexible A.IMar 17, 202123Mar 17, 202123
Alan DaviesinTowards Data ScienceA Natural Language Processing (NLP) PrimerOverview of common NLP tasks using PythonJul 22, 2021Jul 22, 2021
Chris LemkeinTowards Data ScienceData preprocessing in NLPData cleaning and data augmentation (not only) for text simplificationJul 24, 20211Jul 24, 20211