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TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Data Donation Module: A Django application to setup and manage data donation projects.
benchmarks of some time series forecasting methods
Get metadata about the active window and open windows (title, id, bounds, owner, etc)
This is the playbook for "code-with" customer or partner engagements
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Query your Apple Health data with natural language 💬 🩺
AI tool to build charts based on text input
Personal Analytics project to increase knowledge workers' awareness about work and productivity.
Our regulatory documentation manager. Streamlines 62304, 14971, and 510(k) documentation for software projects.
A tool for qualitative and mixed methods data analysis
Blink1Control GUI to control blink(1) USB RGB LED devices.
Build better habits online! Tell HabitLab your goals, and it will determine the appropriate interventions via experimentation.
Windows system utilities to maximize productivity
appr.tc has been shutdown. Please use the Dockerfile to run your own test/dev instance.
Capture your screen to a GIF in your browser
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
A set of documented functions for simulating the performance of photovoltaic energy systems.
This is a helper-project that maps application data (process-name, window-titles) to an activity (e.g. coding, work unrelated webbrowsing, email).
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Workshop for building an Azure powered Xamarin mobile app.
📄 Awesome CV is LaTeX template for your outstanding job application
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators