AdrianoMourthe

Adriano Mourthé's starred repositories

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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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, Dask, Flink and DataFlow

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ToolsOfTheTrade

Tools of The Trade, from Hacker News.

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ganhacks

starter from "How to Train a GAN?" at NIPS2016

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torch7

http://torch.ch

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tsfresh

Automatic extraction of relevant features from time series:

Language:Jupyter NotebookMIT8230 167 528

umap

Uniform Manifold Approximation and Projection

Language:PythonBSD-3-Clause7233 128 779

skorch

A scikit-learn compatible neural network library that wraps PyTorch

Language:Jupyter NotebookBSD-3-Clause5704 81 511

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

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awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

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scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

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hyperlearn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

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openTSNE

Extensible, parallel implementations of t-SNE

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iTorch

IPython kernel for Torch with visualization and plotting

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temperature_scaling

A simple way to calibrate your neural network.

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neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

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