Largely based on the Tensorflow 1.6 gist, and Tensorflow 1.7 gist for xcode, this should hopefully simplify things a bit.
- NVIDIA Web-Drivers 387.10.10.10.30.103 for 10.13.4
- CUDA-Drivers 387.178
- CUDA 9.1 Toolkit
Hongren Gong hrgentry
hrgentry
/ .Renviron
Created
January 3, 2018 22:15
— forked from Planeshifter/.Renviron
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| R_LIBS_USER="~/R" |
hrgentry
/ .latexmkrc
Created
April 25, 2018 14:05
— forked from fnurl/.latexmkrc
my .latexmkrc that I use with MacTex
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| # Use xelatex instead of pdflatex | |
| $pdflatex = 'xelatex -synctex=1 -interaction=nonstopmode --shell-escape %O %S'; | |
| # Always create PDFs | |
| $pdf_mode = 1; | |
| # Use Skim.app to preview generated PDFs | |
| $pdf_previewer = 'open -a Skim.app %S'; | |
| # Use continous mode by default |
hrgentry
/ tensorflow_1_7_high_sierra_gpu.md
Created
June 17, 2019 01:44
— forked from Willian-Zhang/tensorflow_1_7_high_sierra_gpu.md
Install Tensorflow 1.7 on macOS High Sierra 10.13.4 with CUDA and stock python
hrgentry
/ beamer-slides-with-notes.pdf
Created
May 15, 2020 02:42
— forked from andrejbauer/beamer-slides-with-notes.pdf
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hrgentry
/ gist:2a02951cb0ef2dedcfad88544ba40aa7
Created
September 9, 2020 21:30
— forked from rich-iannone/gist:1da1ae7a7203958a0c5b1bd1d4b24017
This gt code allows you to make a summary table based on the `pizzaplace` dataset.
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| library(tidyverse) | |
| library(paletteer) | |
| library(gt) | |
| pizzaplace %>% | |
| mutate(type = case_when( | |
| type == "chicken" ~ "chicken (pizzas with chicken as a major ingredient)", | |
| type == "classic" ~ "classic (classical pizzas)", | |
| type == "supreme" ~ "supreme (pizzas that try a little harder)", | |
| type == "veggie" ~ "veggie (pizzas without any meats whatsoever)", |
hrgentry
/ installing_nvidia_driver_cuda_cudnn_linux.md
Created
December 7, 2020 11:10
— forked from kmhofmann/installing_nvidia_driver_cuda_cudnn_linux.md
Installing the NVIDIA driver, CUDA and cuDNN on Linux
This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software
- NVIDIA graphics card driver (v450.57)
- CUDA (v11.0.2)
- cuDNN (v8.0.2.39)
on an Ubuntu Linux system, in particular Ubuntu 20.04.