Anand Haridass's repositories
tensorflow-rnn-shakespeare
Code from the "Tensorflow and deep learning - without a PhD, Part 2" session on Recurrent Neural Networks.
DeepBench
Benchmarking Deep Learning operations on different hardware
Great-Deep-Learning-Tutorials
A Great Collection of Deep Learning Tutorials and Repositories
models
Models built with TensorFlow
linux
Linux kernel source tree
courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
dlrm
An implementation of a deep learning recommendation model (DLRM)
jupyter
Jupyter metapackage for installation, docs and chat
numpy-100
100 numpy exercises (with solutions)
hdp-solution
Hortonworks Data Platform on IBM Power Solution Toolkit
tensorflow
Computation using data flow graphs for scalable machine learning
kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
tensorflow-mnist-tutorial
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.