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hamero

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facets-overview-spark

Spark Implementation of Google Facets Overview https://github.com/PAIR-code/facets

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lnav

Log file navigator

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deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

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examples

A collection of Jupyter notebooks showing what you can do with the almond Scala kernel.

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metals-vscode

Visual Studio Code extension for Metals

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kontextfrei

Writing application logic for Spark jobs that can be unit-tested without a SparkContext

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spawncamping-dds

Data-Driven Spark allows quick data exploration based on Apache Spark.

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drunken-data-quality

Spark package for checking data quality

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sls-packaging

A set of Gradle plugins for creating SLS-compatible packages

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ScalphaGoZero

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

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spark-fast-tests

Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)

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sparklens

Qubole Sparklens tool for performance tuning Apache Spark

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ammonite-spark

Run spark calculations from Ammonite

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clear-config

Scala FP configuration library with a focus on runtime clarity

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pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

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scalaz-and-cats

Usage examples and benchmarks between Scalaz and Cats (w/ Haskell ground-truth).

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tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

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nexus

Experimental tensor-typed deep learning

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pytorchviz

A small package to create visualizations of PyTorch execution graphs

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mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

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Pytorch_Mask_RCNN

Converted from [tf+keras version MASK-RCNN](https://github.com/matterport/Mask_RCNN)

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papers

Summaries of machine learning papers

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dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

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modern-deep-learning-docker

Modern Deep Learning Docker Image

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conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

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Learn_Machine_Learning_in_3_Months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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jupyter-notify

A Jupyter Notebook magic for browser notifications of cell completion

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fastai_deeplearn_part1

Notes for Fastai Deep Learning Course

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wtfpython

What the f*ck Python? 😱

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