Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
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Updated
Jul 2, 2020 - Python
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
Pytorch implementation of the paper Convolutional Neural Networks for Sentence Classification
Detect actor / actress faces in an image and list their work (movies / series)
A machine learning model to recommend movies & tv series
Fetch movie data from IMDB and output in JSON format.
Scrape Data From IMDB Movie DataBase
Python package to both parse datsets provided by IMDb and scrape information from imdb.com
Text Classification using Mamba Model
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
Exploratory analysis on the IMDB movie database
A fun projects made using Scrapy. The Spiders included in this are able to extract Movie, TV-Series, TV-Movies based on year and title type. A lot more to come ahead
NLP sample project leveraging modelkit and the imdb reviews dataset
Machine learning algorithm to predict the genre of a movie based on a short storyline.
Review classification in pytorch using LSTM
A Twitter bot that uses numerous APIs to recommend films, scrapes Wikipedia for data about them, then saves that data to a Google Sheet.
Project 0 for the Introduction to "Artificial Intelligence with Python" Harvard online course. App that finds a connection between two actors bases on the movies they have starred in, using BFS algorithm.
Are you confused about what to binge-watch next? Welcome to the Precog-Movie-Recommender. Just enter ratings about 5 movies which we will show you, and we will recommend you what to view next.
This project is my second project at my internship.
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