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Lydia H.'s Projects

flying_car icon flying_car

flying car materials from Udacity flying car nano degree.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

h2o-3 icon h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

h2o-tutorials icon h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

orange3 icon orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis https://orange.biolab.si

somoclu icon somoclu

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tflearn icon tflearn

Deep learning library featuring a higher-level API for TensorFlow.

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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