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Test-Time Data Augmentation
Tutorial on how to properly implement test-time image data augmentation in a production environment with limited computational resources.
A 2020 guide to Semantic Segmentation
Concept of image segmentation, discuss the relevant use-cases, different neural network architectures involved in achieving the results, metrics and ...
Flexible and powerful tensor operations for readable and reliable code. Supports numpy, pytorch, tensorflow, and others.
How to Detect Data-Copying in Generative Models
I propose some new definitions and test statistics for conceptualizing and measuring overfitting by generative models.
Hyperparameter Optimization for AllenNLP Using Optuna
🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.
Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes
An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow.
SadedeGel: An extraction based Turkish news summarizer
"Sadede Gel" in Turkish, means "cut to the chase".
Interpretability in ML: A Broad Overview
An overview of the sub-field of machine learning interpretability.
Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX.
Quick Draw Sketches Classification using PyTorch
Alternative project to overused MNIST dataset with similar objective and data set. The Quick Draw Dataset is a collection of 50 million drawings in 28x28 ...
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