docker pull gcr.io/google_containers/kube-apiserver-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-controller-manager-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-proxy-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-scheduler-amd64:v1.5.0
docker pull weaveworks/weave-npc:1.8.2
docker pull weaveworks/weave-kube:1.8.2
Johnson Jia motivic
thomwolf
/ parallel.py
Last active
August 8, 2023 15:50
Data Parallelism in PyTorch for modules and losses
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| ##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ | |
| ## Created by: Hang Zhang, Rutgers University, Email: zhang.hang@rutgers.edu | |
| ## Modified by Thomas Wolf, HuggingFace Inc., Email: thomas@huggingface.co | |
| ## Copyright (c) 2017-2018 | |
| ## | |
| ## This source code is licensed under the MIT-style license found in the | |
| ## LICENSE file in the root directory of this source tree | |
| ##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ | |
| """Encoding Data Parallel""" |
karpathy
/ pg-pong.py
Created
May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
wangruohui
/ Caffe Ubuntu 15.10.md
Last active
February 28, 2023 09:36
Compile and run Caffe on Ubuntu 15.10
Ubuntu 15.10 have been released for a couple of days. It is a bleeding-edge system coming with Linux kernel 4.2 and GCC 5. However, compiling and running Caffe on this new system is no longer as smooth as on earlier versions. I have done some research related to this issue and finally find a way out. I summarize it here in this short tutorial and I hope more people and enjoy this new system without breaking their works.
The latest NVIDIA driver is officially included in Ubuntu 15.10 repositories. One can install it directly via apt-get.
sudo apt-get install nvidia-352-updates nvidia-modprobe
The nvidia-modprobe utility is used to load NVIDIA kernel modules and create NVIDIA character device files automatically everytime your machine boots up.
Reboot your machine and verify everything works by issuing nvidia-smi or running deviceQuery in CUDA samples.
bartvm
/ dl-frameworks.rst
Last active
December 7, 2020 18:18
A comparison of deep learning frameworks
A comparison of Theano with other deep learning frameworks, highlighting a series of low-level design choices in no particular order.
Overview
Symbolic: Theano, CGT; Automatic: Torch, MXNet
Symbolic and automatic differentiation are often confused or used interchangeably, although their implementations are significantly different.
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| # Compiled source # | |
| ################### | |
| *.com | |
| *.class | |
| *.dll | |
| *.exe | |
| *.o | |
| *.so | |
| # Packages # |
sloria
/ bobp-python.md
Last active
March 11, 2026 15:13
A "Best of the Best Practices" (BOBP) guide to developing in Python.
aras-p
/ preprocessor_fun.h
Last active
March 5, 2026 23:36
Things to commit just before leaving your job
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| // Just before switching jobs: | |
| // Add one of these. | |
| // Preferably into the same commit where you do a large merge. | |
| // | |
| // This started as a tweet with a joke of "C++ pro-tip: #define private public", | |
| // and then it quickly escalated into more and more evil suggestions. | |
| // I've tried to capture interesting suggestions here. | |
| // | |
| // Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_, | |
| // @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant, |
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| out_to_x no | |
| own_window no | |
| out_to_console yes | |
| background no | |
| max_text_width 0 | |
| # Update interval in seconds | |
| update_interval 2.0 | |
| # This is the number of times Conky will update before quitting. |
This tutorial guides you through creating your first Vagrant project.
We start with a generic Ubuntu VM, and use the Chef provisioning tool to:
- install packages for vim, git
- create user accounts, as specified in included JSON config files
- install specified user dotfiles (.bashrc, .vimrc, etc) from a git repository
Afterwards, we'll see how easy it is to package our newly provisioned VM
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