Anand Haridass's repositories

tensorflow-rnn-shakespeare

Code from the "Tensorflow and deep learning - without a PhD, Part 2" session on Recurrent Neural Networks.

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DeepBench

Benchmarking Deep Learning operations on different hardware

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d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

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Great-Deep-Learning-Tutorials

A Great Collection of Deep Learning Tutorials and Repositories

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models

Models built with TensorFlow

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linux

Linux kernel source tree

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courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

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dlrm

An implementation of a deep learning recommendation model (DLRM)

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jupyter

Jupyter metapackage for installation, docs and chat

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numpy-100

100 numpy exercises (with solutions)

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hdp-solution

Hortonworks Data Platform on IBM Power Solution Toolkit

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tensorflow

Computation using data flow graphs for scalable machine learning

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kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

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tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

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