First, install desktop environment and vncsever
sudo apt-get install ubuntu-desktop gnome-panel gnome-settings-daemon metacity nautilus gnome-terminal
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install vnc4server
dingran
/ expand_dict.py
Created
October 28, 2019 02:00
Function to expand master hyperparamter to create a list of hp dicts
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| import itertools | |
| import copy | |
| ### Example usage ### | |
| # In [13]: import pprint | |
| # ...: master_hp_dict = dict(anneal_KLD=Expand(True, False), bs=1024, n_epochs=Expand(2, 10, 20), mlp=[10,30]) | |
| # ...: hp_list = dict_expand(master_hp_dict) | |
| # ...: pprint.pprint(hp_list) | |
| # [{'anneal_KLD': True, 'bs': 1024, 'mlp': [10, 30], 'n_epochs': 2}, | |
| # {'anneal_KLD': True, 'bs': 1024, 'mlp': [10, 30], 'n_epochs': 10}, |
dingran
/ git-bash-prompt.sh
Created
March 11, 2019 23:52
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| #!/bin/bash | |
| # | |
| # DESCRIPTION: | |
| # | |
| # Set the bash prompt according to: | |
| # * the active virtualenv | |
| # * the branch/status of the current git repository | |
| # * the return value of the previous command | |
| # * the fact you just came from Windows and are used to having newlines in | |
| # your prompts. |
dingran
/ miniflow.py
Created
May 5, 2018 21:39
— forked from jychstar/miniflow.py
miniflow in Udacity nanodegree
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| import numpy as np | |
| class Node(object): | |
| """ | |
| Base class for nodes in the network. | |
| Arguments: | |
| `inbound_nodes`: A list of nodes with edges into this node. | |
| """ | |
| def __init__(self, inbound_nodes=[]): |
dingran
/ google-cloud-gpu-instance-setup.md
Last active
January 15, 2020 06:58
Google Cloud Compute virtual machine set up with GPU
dingran
/ dijkstra.py
Last active
November 30, 2023 22:43
Python implementation of Dijkstra's algorithm, single source all desinations and single source single destination
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| from collections import defaultdict | |
| def build_graph(edge_list): | |
| graph = defaultdict(list) | |
| seen_edges = defaultdict(int) | |
| for src, dst, weight in edge_list: | |
| seen_edges[(src, dst, weight)] += 1 | |
| if seen_edges[(src, dst, weight)] > 1: # checking for duplicated edge entries | |
| continue |