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Code for visualizing the loss landscape of neural nets
Workaround for Intel throttling issues in Linux.
Data Science Using Python
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
Exploratory analysis of Bayesian models with Python
Fast and flexible AutoML with learning guarantees.
Sequence to Sequence Learning with Keras
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
Open standard for machine learning interoperability
Book about interpretable machine learning
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
A Python toolbox for performing gradient-free optimization
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Probabilistic reasoning and statistical analysis in TensorFlow
Kernel Mixture Network implementation with some minor tweaks
Sequential model-based optimization with a `scipy.optimize` interface
A garden for scikit-learn compatible trees
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Zipline, a Pythonic Algorithmic Trading Library
Portfolio and risk analytics in Python
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Hyper-parameter optimization for sklearn
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.