Explainable Artificial Intelligence (XAI) methods allow data scientists and other stakeholders to interpret machine learning models. XAI is driven by both demands from customers impacted by ML model as well as regulators. Some of the regulations that have put “Right to Explanation” at the center…

Keras: The Python Deep Learning library You have just found Keras. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow , CNTK , or Theano . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with…

Python Data Analysis Library¶ pandas is an open source, BSD-licensed library providing high-performance,easy-to-use data structures and data analysis tools for the Python programming language. pandas is a NumFOCUS sponsored project. This will help ensure the success of development of pandas as a…

Update I've rewritten this blog post elsewhere , so you may want to read that version instead (I think it's much better than this one) In this post, we'll talk about the method for explaining the predictions of any classifier described in this paper , and implemented in this open source package .…

Blog about computer vision consulting - application of convolutional neural networks. Computer vision solutions can help in anomaly detection and other problems.

Sentiment analysis has become a popular method in recent years to learn about opinions of clients about product and services. It is used both for academic purposes and in commerce.

ELI5 is a Python library which allows to visualize and debug various Machine Learning models using unified API. It has built-in support for several ML frameworks and provides a way to explain black-box models.

Simple and efficient tools for predictive data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD license

Helping organizations build and deploy their machine learning, data science, natural language processing and AI solutions. All machine learning models are provided with Explainable Artificial Intelligence (XAI) methods.