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🦜🔗 Build context-aware reasoning applications
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Collection of notebooks about quantitative finance, with interactive python code.
Fast and flexible AutoML with learning guarantees.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Some ipython notebooks implementing AI algorithms
Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.
Replika.ai Research Papers, Posters, Slides & Datasets
Scripts that run against Watson Assistant for K fold validation on training set, testing on blind test, and draw precision curves for comparison.
Assistant Improve notebooks for Watson Assistant
Using machine learning to predict Federal IT procurement compliance with Section 508 Accessibility Standards
Creating web applications with Jupyter and Binder
This will be a public page to inform about updates to our models being developed to search through Arxiv-Sanity papers
To predict with High levels of Accuracy the likelyhood of a patient to have a heart attack.