chmnsk's starred repositories
recommenders
Best Practices on Recommendation Systems
great_expectations
Always know what to expect from your data.
FasterTransformer
Transformer related optimization, including BERT, GPT
napkin-math
Techniques and numbers for estimating system's performance from first-principles
recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data
decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
ml-metadata
For recording and retrieving metadata associated with ML developer and data scientist workflows.
jupyter-resource-usage
Jupyter Notebook Extension for monitoring your own Resource Usage
zio-direct
Direct-Style Programming for ZIO
spotify-recsys-challenge
A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.
nvidia-merlin-on-vertex-ai
This repository compiles prescriptive guidance and code samples for the operationalization of NVIDIA Merlin framework on Google Cloud Vertex AI.
kotlin-server-template
A server code template using Kotlin, Gradle, and Ktor.
eventpointnet
EventPointNet: Robust keypoint detector with neuromorphic camera data
localfeature
EventPointNet: Keypoint detection method with neuromorphic vision data