Policy Gradients: REINFORCE from Scratch
Deep dive into Policy Gradient methods, specifically REINFORCE deriving the mathematical foundations as well as the implementation from scratch.
Topic
Python
A collection of 4 issues
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.
Deploying sklearn Models via FastAPI and Docker
Deploying machine learning models to production via FastAPI and containerizing them along the way with docker.
Disaster Tweet Classification with RoBERTa and PyTorch
Approaching the Disaster Tweet Classification Kaggle challenge with NLP deep learning.