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Top 18 Python explainable-ml Projects
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pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
For the two examples we will be looking at, we will be using pytorch_grad_cam, an incredible open source package that makes working with GradCam very easy. There are excellent other tutorials to check out on the repo as well.
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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.
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Project mention: Xplique Is a Neural Networks Explainability Toolbox | news.ycombinator.com | 2024-02-02
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InfluxDB
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CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms (by carla-recourse)
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explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
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shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
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TalkToModel
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
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Just for some respite from the discussion of our soon-to-be AI overlords (LLMs), I'm one of the contributors to an open-source Python package, Xplainable (https://github.com/xplainable/xplainable). Xplainable is a novel (structured) machine learning algorithm that's inherently explainable, as opposed to being a post-hoc explainer (like SHAP or Lime).
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cnn-raccoon
Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
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Project mention: Show HN: Open-Sourcing Google's Lattice Models in PyTorch | news.ycombinator.com | 2023-11-15
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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).
Python explainable-ml discussion
Python explainable-ml related posts
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Explainable (Structured) Machine Learning Algorithm
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Evaluate and Track Your LLM Experiments: Introducing TruLens for LLMs
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[D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
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Deploying a LightGBM classifier as a AWS Sagemaker endpoint?
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University of Tübingen Researchers Open-Source ‘CARLA’, A Python Library for Benchmarking Counterfactual Explanation Methods Across Data Sets and Machine Learning Models
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Ask the Experts: AWS Data Science and ML Experts - - Mar 9th @ 8AM ET / 1PM GMT!
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CNN Racoon - Library for creating interactive dashboards for Convolutional Neural Networks
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A note from our sponsor - InfluxDB
www.influxdata.com | 7 Sep 2024
Index
What are some of the best open-source explainable-ml projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | pytorch-grad-cam | 10,136 |
| 2 | trulens | 2,030 |
| 3 | AIX360 | 1,601 |
| 4 | DALEX | 1,360 |
| 5 | DiCE | 1,329 |
| 6 | xplique | 616 |
| 7 | tf-keras-vis | 312 |
| 8 | CARLA | 273 |
| 9 | explainable-cnn | 217 |
| 10 | shapley | 213 |
| 11 | TalkToModel | 105 |
| 12 | sagemaker-explaining-credit-decisions | 97 |
| 13 | xplainable | 57 |
| 14 | cnn-raccoon | 31 |
| 15 | pytorch-lattice | 25 |
| 16 | ContrXT | 24 |
| 17 | XAI | 18 |
| 18 | xi-method | 5 |
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