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Top 23 explainable-ai Open-Source Projects
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deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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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.
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InfluxDB
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.
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awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
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transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
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Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
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awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
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CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms (by carla-recourse)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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.
An alternative to this is to leverage existing object detection, apply the model to patches or slices of fixed size in our image, and then stitch the results together. This is the idea behind Slicing-Aided Hyper Inference!
Project mention: Show HN: Evaluate LLM-based RAG Applications with automated test set generation | news.ycombinator.com | 2024-04-11
Project mention: Xplique Is a Neural Networks Explainability Toolbox | news.ycombinator.com | 2024-02-02
Project mention: Symbolicregression.jl – High-Performance Symbolic Regression in Julia and Python | news.ycombinator.com | 2023-07-15
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
Index
What are some of the best open-source explainable-ai projects? This list will help you:
Project | Stars | |
---|---|---|
1 | deep-learning-drizzle | 11,749 |
2 | pytorch-grad-cam | 9,410 |
3 | interpret | 5,988 |
4 | sahi | 3,553 |
5 | giskard | 3,111 |
6 | awesome-explainable-graph-reasoning | 1,934 |
7 | AIX360 | 1,527 |
8 | DALEX | 1,318 |
9 | imodels | 1,290 |
10 | DiCE | 1,267 |
11 | responsible-ai-toolbox | 1,208 |
12 | transformers-interpret | 1,207 |
13 | OmniXAI | 805 |
14 | vit-explain | 708 |
15 | Transformer-MM-Explainability | 704 |
16 | awesome-open-data-centric-ai | 677 |
17 | daam | 596 |
18 | xplique | 569 |
19 | SymbolicRegression.jl | 526 |
20 | FastTreeSHAP | 492 |
21 | tf-keras-vis | 305 |
22 | inseq | 295 |
23 | CARLA | 263 |
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