Alex Nim's repositories
pt_bert_multi_label_classification
fine-tuning BERT model on multi-label classification task
PyTorch_finetune_GloVe_embeddings
transfer learning with GloVe embeddings on any corpus of text
ANIM_BOOK_REC_APP
Code for my book recommender application built with Flask
BertSum
Code for paper Fine-tune BERT for Extractive Summarization
FLASK_NLP_APP
NLP app built with Flask
Flask_RESTful_API_lreg
building a RESTful API with Flask for a simple linear regression model
PROD_regmodel_flask_API
practice for productionising ML models as Flask RESTful API and setting up CI/CD pipeline
surprise_rec_sys
practice for building recommender systems with content-based algorithm and matrix factorization algorithms using surprise library
integration-tests-example
An example project showcasing how Ardan Labs writes integration tests
NLP_cleanlab_test
testing confident learning on sample text data to identify mislabelled categories
PYSPARK_RECSYS_ALS
ALS recommender system built with PySpark
python-testing-with-pytest
Excerpts from the book Python Testing with Pytest by Brian Okken
PyTorch_binary_classifier
pytorch classifier built for the purposes of supervised sentiment analysis. this is achieved with a simple single-layer perceptron model and a multi-layer perceptron model, in addition to a simple word vectorizer
Record_Price_Predictor
A regression model for predicting the price of a record, trained using data from discogs.com
TalkNet2-pytorch
TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.