WarpedGANSpace
alibi
| WarpedGANSpace | alibi | |
|---|---|---|
| 6 | 4 | |
| 107 | 2,293 | |
| - | 0.7% | |
| 1.6 | 7.7 | |
| 11 months ago | 12 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
WarpedGANSpace
alibi
- Alibi: Open-source Python lib for ML model inspection and interpretation
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Ask HN: Who is hiring? (January 2022)
Seldon | Multiple positions | London/Cambridge UK | Onsite/Remote | Full time | seldon.io
At Seldon we are building industry leading solutions for deploying, monitoring, and explaining machine learning models. We are an open-core company with several successful open source projects like:
* https://github.com/SeldonIO/seldon-core
* https://github.com/SeldonIO/mlserver
* https://github.com/SeldonIO/alibi
* https://github.com/SeldonIO/alibi-detect
* https://github.com/SeldonIO/tempo
We are hiring for a range of positions, including software engineers(go, k8s), ml engineers (python, go), frontend engineers (js), UX designer, and product managers. All open positions can be found at https://www.seldon.io/careers/
- Ask HN: Who is hiring? (December 2021)
-
Best alternatives to 'shap' package?
Alibi explain might be an option depending on what you are looking for https://github.com/SeldonIO/alibi
What are some alternatives?
captum - Model interpretability and understanding for PyTorch
interpret - Fit interpretable models. Explain blackbox machine learning.
the-gan-zoo - A list of all named GANs!
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
GenerativeDenseUNet - An RBF based artificial neural network used for the purpose of semantic image segmentation. The backbone of this model is a DenseUNet. The head of the convolutional neural network is an RBF layer. Inference can be done using Bayes Theorem, or Softmax.
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
conductor - Conductor is a microservices orchestration engine.
MLServer - An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
causallift - CausalLift: Python package for causality-based Uplift Modeling in real-world business
MindsDB - The platform for customizing AI from enterprise data
DALEX - moDel Agnostic Language for Exploration and eXplanation