Running PyTorch Models for Inference at Scale using FastAPI, RabbitMQ and Redis
Exploring the architectural setup of how to host GPU intensive PyTorch deep learning models utilizing FastAPI, RabbitMQ and Redis in a scalable way.
Topic
Machine Learning
A collection of 17 issues
Deploying sklearn Models via FastAPI and Docker
Deploying machine learning models to production via FastAPI and containerizing them along the way with docker.
Experimenting with FreeGBDT for NLI Fine-Tuning
Experimenting with "Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning". A deep dive into the FreeGBDT paper.
Disaster Tweet Classification with RoBERTa and PyTorch
Approaching the Disaster Tweet Classification Kaggle challenge with NLP deep learning.
Evaluating Recommender Systems
Outlining and exploring the mathematics behind different evaluation strategies and metrics applicable in the recommender systems domain.
Collaborative Filtering in Recommender Systems
Diving deep on the functioning of collaborative filtering (CF) algorithms in the recommender systems domain.
Introduction to Content-Based Recommender Systems
Exploring the fundamentals and mathematical intricacies of content-based recommender systems to generate fitting and fair recommendations for users.