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The official implementation of "BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?, ACL 2021 main conference"
A collection of notebooks for Natural Language Processing from NLP Town
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Insightful Tutorials and Papers about Knowledge Graphs
Multi-Task Deep Neural Networks for Natural Language Understanding
Everything you need to know to get the job.
Patent analysis using the Google Patents Public Datasets on BigQuery
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Solve puzzles. Improve your pytorch.
Repository for the free online book Machine Learning from Scratch (link below!)
Auxiliary GAN for WE post-specialisation
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Keras implementation of GRU4Rec session-based recommender system
Keras implementations of Generative Adversarial Networks.
Uplift modeling and causal inference with machine learning algorithms
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
A library for efficient similarity search and clustering of dense vectors.
A PyTorch Implementation of "Everybody Dance Now" from Berkeley AI lab.
A recommender system built for book lovers.
Python crawler for getting books' metadata from the Google Books API using asyncio and aiohttp
Movies Database backup from https://www.TheMovieDb.org/ on PostgreSQL
Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb (to which we are not affiliated in any way) movie database about movies, people, characters and companies
An experiment on explicit vs implicit feedback recommenders
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Neural Collaborative Filtering
Variational autoencoders for collaborative filtering