alexjnim

ANIM_BOOK_REC_APP

Code for my book recommender application built with Flask

BertSum

Code for paper Fine-tune BERT for Extractive Summarization

cancer_risk_predictor

FLASK_NLP_APP

NLP app built with Flask

Flask_RESTful_API_lreg

building a RESTful API with Flask for a simple linear regression model

gensim

Topic Modelling for Humans

PROD_regmodel_flask_API

practice for productionising ML models as Flask RESTful API and setting up CI/CD pipeline

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

surprise_rec_sys

practice for building recommender systems with content-based algorithm and matrix factorization algorithms using surprise library

alexjnim/pt_bert_multi_label_classification

fine-tuning BERT model on multi-label classification task

alexjnim/PyTorch_finetune_GloVe_embeddings

transfer learning with GloVe embeddings on any corpus of text

alexjnim/ANIM_BOOK_REC_APP

Code for my book recommender application built with Flask

alexjnim/BertSum

Code for paper Fine-tune BERT for Extractive Summarization

alexjnim/cancer_risk_predictor

alexjnim/FLASK_NLP_APP

NLP app built with Flask

alexjnim/Flask_RESTful_API_lreg

building a RESTful API with Flask for a simple linear regression model

alexjnim/gensim

Topic Modelling for Humans

alexjnim/PROD_regmodel_flask_API

practice for productionising ML models as Flask RESTful API and setting up CI/CD pipeline

alexjnim/surprise_rec_sys

practice for building recommender systems with content-based algorithm and matrix factorization algorithms using surprise library

alexjnim/goodreads_book_rec_app

alexjnim/integration-tests-example

An example project showcasing how Ardan Labs writes integration tests

alexjnim/Keras_DL_GANs_Faces

alexjnim/keras_neural_style_transfer

alexjnim/Keras_Practice_HOML

alexjnim/KERAS_transfer_learning_practice

alexjnim/NLP_cleanlab_test

testing confident learning on sample text data to identify mislabelled categories

alexjnim/NLP_IMDB_Sentiment_Analysis

alexjnim/NLP_PRACTICE_AK_feature_exploration

alexjnim/NLP_Topic_Modelling_Practice_-NEWS_ARTICLES-

alexjnim/pt_bert_data_augmentation

alexjnim/pt_bert_ner_practice

alexjnim/PYSPARK_RECSYS_ALS

ALS recommender system built with PySpark

alexjnim/python-testing-with-pytest

Excerpts from the book Python Testing with Pytest by Brian Okken

alexjnim/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

alexjnim/rec_sys_collab_filter

alexjnim/Record_Price_Predictor

A regression model for predicting the price of a record, trained using data from discogs.com

alexjnim/SMOTE_practice

alexjnim/t5_finetuning_text_2_text

alexjnim/TalkNet2-pytorch

TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.