Steven (startakovsky)

startakovsky

Geek Repo

Company:@stitchfix

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Steven's repositories

ai

Repo for work for AI Survey

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deepclustering

Tensorflow implementation of deep clustering model from my paper "Learning Embedding Space for Clustering From Deep Representations" 2018 IEEE BigData.

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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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.

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LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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SimpleLoadTest

A simple load test script with python gevent and requests.

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tsfresh

Automatic extraction of relevant features from time series:

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