🌈 This repo will assist you to translate one language into another using different open-source models.
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Updated
Nov 13, 2020 - Python
🌈 This repo will assist you to translate one language into another using different open-source models.
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Summarizing the Blog Just by including the link to the blog
My journey of learning NLP. Contains info about Basic NLP techniques, Hugging Face , GPT3and Spacy
A Machine learning model Benchmarking library that aims to compare performance and estimate the run time of state-of-art algorithms and models. A huge library of models encompassing computer vision, natural language processing and more. Designed with a user friendly and a visual-centric dashboard
In this project it has been finetuned a DistilBERT model over SQuAD dataset using HuggingFace library.
A cutting edge Open Source HealthCare app(Android+Web) which utilizes Machine Learning to predict diseases based on Symptoms or Natural Language. Also includes features such as Live Chat with Doctors,Appointment Booking,Possible Drugs you can take and Specialist you can refer to.
Question Answering on Tabular Data with HuggingFace Transformers Pipeline & TAPAS
This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.
Loading parsquad dataset from hugging face
Wrangle messy numerical, image, and text data into consistent well-organized formats
It's real time ML_APP which can let user input the text, and app will output the image
Generating headlines for the VICE Youtube channel using BLOOM
How to deploy a BERT model from Hugging Face Model Hub to Amazon SageMaker for a Fill-Mask use case.
OCR_app can convert text from picture to written text. It's a full-stack machine-learning application that uses Hugging Face, Streamlit and EasyOcr .
HugginFace for Beginners
Leukocytes (WBCs) subtypes classification from blood smear images using Vision Transformers from Hugging Face and DenseNet artificial neural network from MONAI.
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