Recommender Learning with Tensorflow2.x
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
consul-template-like with erb (ruby) template expressiveness
A Chrome extension to enhance debugging of some frequently-used tag management platforms (Google Tag Manager, Tealium, Commanders Act, DTM) in combination with some frequently-used tags (Google Analytics, Google Analytics 4, GA Audiences, Ddm, Criteo, Adobe Analytics/Omniture, Floodlight, Comscore, Facebook, Bluekai, Youbora, Kinesis, Webtrekk, …
Official Python SDK to access the Criteo Marketing API
TF-Tile: an efficient sparse representation for real-valued data
Official Java SDK to access the Criteo Marketing API
Criteo JS API for ProofPoint URL defense
A script for downloading performance and account structure from Criteo API
A modular Python benchmark for uplift modeling on the Criteo dataset, comparing S-Learner, T-Learner, X-Learner, DR-Learner, Causal Forest, and response-model targeting policies.
Official PHP SDK to access the Criteo Marketing API
Portfolio-grade A/B testing and causal inference study using the randomized Criteo uplift experiment.
Large-scale experimentation and causal measurement project using uplift modeling, statistical inference, calibration, and targeting policy evaluation.
A Prolog implementation of a math game that I used to play as a child and that I reused for the Criteo Code of Duty 2
Uplift modeling to find "persuadables" on the ~14M-row Criteo dataset — pipeline, notebook, interactive dashboard & Streamlit app.
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