Algorithms for explaining machine learning models

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Generate Diverse Counterfactual Explanations for any machine learning model.

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation

Python Implementation of Clarke and Parkes Error Grids for Blood Glucose Accuracy Analysis

This has the function for the Clarke Error Grid

Interpretability and explainability of data and machine learning models

Counterfactual Explanations for Time Series Forecasting (ICDM 2023)

A simple Jekyll theme for showcasing your work, emphasis on whitespace, transparency, and helvetica.

A Python package to interact with fasting logs from apps like Zero.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

[NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

tracking papers, datasets, and models of "large language model (LLM) for time series"

Modified version of xDrip+ (Libre-2 OOP2 setup)

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Android app for Freestyle Libre 1,2 and 3 and Chinese Sibionics sensors

List of CGM datasets

Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Forecasting.

Pytorch 트랜스포머 구현과 언어모델(BERT MLM, ELECTRA), 기계번역 테스트.

Realtime processing of Dexcom CGM data using the official receiver

nightscout web monitor

InfluxDB Studio is a UI management tool for the InfluxDB time series database.

InfluxDB (v2+) Client Library for Dart and Flutter