ML model training for edge devices
-
Updated
Sep 29, 2023 - Python
Web Monetization (WM) is a proposed API standard that allows websites to request a stream of very small payments (e.g. fractions of a cent) from a user.
The API's framework provides new revenue models for websites and web-based services and is an alternative to subscription services and advertising, all while preserving the user's privacy.
In exchange for payments from the user, websites can provide the user with a "premium" experience, such as allowing access to exclusive content, removing advertising, or even removing the need to log in to access content or services.
ML model training for edge devices
Track oriented, multi target, multi hypothesis tracker
Multi-document summarization tool relying on ILP and sentence fusion
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
DataSAIL is a tool to split datasets while reducing information leakage.
A Python3 API for ingesting data into QuestDB through the InfluxDB Line Protocol.
A Kakuro (or Cross Sum) game with an ILP based solver.
Submission for DS 2020
VLDB 2018 Sherlock: An Interactive Summarization of Large Text Collections
Limited Preemptive Scheduling - Simulations
Probabilistic planning solvers using hindsight optimization and reduction to ILP
Import and export data into/from InfluxDB.
Released June 15, 2020