Top 6 Jupyter Notebook explainable-ml Projects

shapash

8 2,642 8.6 Jupyter Notebook

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Project mention: GitHub - MAIF/shapash: Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models | /r/learnmachinelearning | 2023-06-26

trulens

14 1,612 9.8 Jupyter Notebook

Evaluation and Tracking for LLM Experiments

Project mention: Why Vector Compression Matters | dev.to | 2024-04-24

Retrieval using a single vector is called dense passage retrieval (DPR), because an entire passage (dozens to hundreds of tokens) is encoded as a single vector. ColBERT instead encodes a vector-per-token, where each vector is influenced by surrounding context. This leads to meaningfully better results; for example, here’s ColBERT running on Astra DB compared to DPR using openai-v3-small vectors, compared with TruLens for the Braintrust Coda Help Desk data set. ColBERT easily beats DPR at correctness, context relevance, and groundedness.

InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
imodels

7 1,290 8.5 Jupyter Notebook

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
OmniXAI

1 805 5.2 Jupyter Notebook

OmniXAI: A Library for eXplainable AI
Deep_XF

3 110 10.0 Jupyter Notebook

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Project mention: Deep_XF: NEW Data - star count:100.0 | /r/algoprojects | 2023-07-18

SegGradCAM

1 94 4.2 Jupyter Notebook

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).