rizkiarm

"""
Snippet generators for serializing models (scikit-learn and PyTorch) into a
copy-pasteable get_model() function string. The generated function is self-contained
and can be pasted into another file to reconstruct the model.

Features:
- Strong typing and clear APIs.
- Optional compression for smaller embedded payloads (zlib, gzip, bz2, lzma, none).
- For scikit-learn: uses pickle-compatible bytes (cloudpickle for dumping if available).
- For PyTorch: prefers TorchScript (self-contained), then full-model pickle with

rizkiarm

FROM rizkiarm/tbp

MAINTAINER Muhammad Rizki A.R.M <rizki@rizkiarm.com>

# Download and setup libDAI
WORKDIR '/root/'
RUN wget https://staff.fnwi.uva.nl/j.m.mooij/libDAI/libDAI-0.3.2.zip && unzip libDAI-0.3.2.zip && rm libDAI-0.3.2.zip
WORKDIR '/root/libDAI-0.3.2'
RUN cp Makefile.LINUX Makefile.conf
RUN make

rizkiarm

FROM clojure

RUN useradd -ms /bin/bash docker

RUN mkdir /src && chown docker:docker /src

USER docker
WORKDIR /src

RUN git clone https://bitbucket.org/probprog/anglican-user.git /src && lein deps

rizkiarm

FROM ubuntu:bionic

# Install dependencies
RUN apt update && apt install gnupg ca-certificates git wget fuse libglib2.0-0 -y

# Add docker user
RUN useradd -ms /bin/bash docker

# Install .NET Core
RUN apt-key adv --keyserver packages.microsoft.com --recv-keys EB3E94ADBE1229CF

rizkiarm

#!/usr/bin/env bash

ENV_PATH="$(dirname "$(dirname "$(which pip)")")"
SYSTEM_VIRTUALENV="$(which -a virtualenv|tail -1)"

BAD_ENV_PATHS="/usr/local"

echo "Ensure the root of the broken virtualenv:"
echo "    $ENV_PATH"

rizkiarm

#/bin/bash

NAMESPACE=dockerenv-

NAME=$NAMESPACE$2

nargs="$#"
params_check(){
	if test $nargs -ne $1; then
	    echo $2

rizkiarm

FROM rizkiarm/nvidia-pysc2

MAINTAINER Muhammad Rizki A.R.M <rizki@rizkiarm.com>

################################################################################
# Lifted directly from Anaconda 3 Dockerfile:
# https://github.com/ContinuumIO/docker-images/blob/master/anaconda3/Dockerfile

ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
ENV PATH /opt/conda/bin:$PATH

rizkiarm

// JSONP Lib: https://github.com/sobstel/jsonp.js

if(typeof app !== 'undefined'){
  var $jsonp = (function(){
    var that = {};

    that.send = function(src, options) {
      var callback_name = options.callbackName || 'callback',
        on_success = options.onSuccess || function(){},
        on_timeout = options.onTimeout || function(){},

rizkiarm

var playlisted_n = 0;
var playlisted_i = 0;
var playlisted = [];
$('.banner,.nav__item').css('border-top','2px solid #fff');
$('.progress-playlist').remove();
$('body').append('<div class="progress-playlist" style="position: fixed;width: 100%;top: 0px;left: 0px;"><div style="background-color: #E62B1E;width: 0%;height: 2px;transition:width 0.5s;"></div></div>');
$('.playlist-talks__play.playlist-talks__thumb').each(function(){
	playlisted_n++;
    $.get($(this).attr('href'), function(data){
    	var targetScript;

rizkiarm

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console