Introduction to Reinforcement Learning
In this video I give a brief introduction to Reinforcement Learning.
reinforcement-learning code notebook video
Getting started with TorchServe + Management Dashboard
Learn Torchserve with examples + Introducing the management dashboard
model-serving torchserve pytorch streamlit
Keeping Data Pipelines healthy w/ Great Expectations GH Actions
We show you how you can use GitHub Actions together with the open source project Great Expectations to automatically test, document, and profile data ...
testing unit-tests data-quality github-actions
EfficientDet meets Pytorch Lightning
Beginner friendly guide to object detection using EfficientDet.
object-detection efficientdet pytroch-lightning pytroch
Colab-cli - sync jupyter notebooks with colab notebooks.
Experience better workflow with google colab, local jupyter notebooks and git.You can now easily manage working with jupyter notebooks and google colab ...
notebook git machine-learning deep-learning
MLOps Tutorial Series
How to create an automatic model training & testing setup using GitHub Actions and Continuous Machine Learning (CML).
ci-cd ml-ops production github-actions
A powerful web and mobile application that identifies food dishes from a given input image, and provides an ingredient list along with relevant recipes.
cooking computer-vision pytorch django
Machine Learning Methods Explained (+ Examples)
Most common techniques used in data science projects; get to know them through easy-to-understand examples and put them into practice in your own ML ...
machine-learning deep-learning unsupervised-learning dimensionality-reduction
Principles and Practice of Explainable Machine Learning
A survey to help industry practitioners understand the field of explainable machine learning better and apply the right tools.
interpretability explainability survey paper
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