Pinned Repositories
a-tour-of-cpp
Codes and drafts on my reading of the book: "A Tour of C++", Bjarne Stroustrup (2018)
aaw-contrib-containers
Containers to be used for general purpose Data Science
argo_seldon_deployments
dsa_website
hierarchical-attention-networks
Tests with modified version of https://github.com/tqtg/hierarchical-attention-networks
NewsDashboard
oreilly_book
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
RecommenderSystems
scikit-learn
scikit-learn: machine learning in Python
Talks
Talks and Workshops
chritter's Repositories
chritter/oreilly_book
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
chritter/scikit-learn
scikit-learn: machine learning in Python
chritter/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
chritter/azure-docs
Open source documentation of Microsoft Azure
chritter/azure_databricks_examples
chritter/azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
chritter/cookiecutter
Testing Cookiecutter
chritter/Data-Structures-and-Algorithms
Data Structures and Algorithms in Python
chritter/EngineeringMLOps
Engineering MLOps, published by Packt
chritter/feast-workshop
A workshop with several modules to help learn Feast, an open-source feature store
chritter/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
chritter/housepricesadv
chritter/kaggle_flight_delays_2015
chritter/kaggle_petals_metal
Kaggle Petals to Metal Competition
chritter/kaggle_storesales_forecasting
chritter/kubeflowtests
chritter/Mastering-Transformers
Mastering Transformers, published by Packt
chritter/MLOpsPython
MLOps using Azure ML Services and Azure DevOps
chritter/multimodal_stuff
chritter/nlp-with-transformers-book
Jupyter notebooks for the Natural Language Processing with Transformers book
chritter/pix2struct
chritter/practical-ml-vision-book
chritter/promptflow_dev
chritter/ProtoPNet
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su
chritter/pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
chritter/python-sample-vscode-flask-tutorial
Sample code for the Flask tutorial in the VS Code documentation
chritter/shinystarwars
chritter/test_synapse
chritter/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
chritter/vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud