Update author refs

.github/CODEOWNERS

@@ -1,9 +1,9 @@
-*       @ionlights
+*       @jmuchovej
 
-fa17/   @flxsosa @ionlights @dibaccory
-sp18/   @ionlights @dibaccory
-fa18/   @ionlights @dibaccory @ahl98 @waldmannly @chaskane
-sp19/   @ionlights @brandons209 @jarviseq @danielzgsilva @cg021 @irene-l-tanner @ahkerrigan
+fa17/   @flxsosa @jmuchovej @dibaccory
+sp18/   @jmuchovej @dibaccory
+fa18/   @jmuchovej @dibaccory @ahl98 @waldmannly @chaskane
+sp19/   @jmuchovej @brandons209 @jarviseq @danielzgsilva @cg021 @irene-l-tanner @ahkerrigan
 fa19/   @brandons209 @jarviseq @danielzgsilva
 sp20/   @brandons209 @jarviseq @danielzgsilva @bb912 @dillonnotdylan
-fa20/   @ionlights @flxsosa @brandons209 @sirroboto @danielzgsilva @dillonnotdylan @bb912
+fa20/   @jmuchovej @flxsosa @brandons209 @sirroboto @danielzgsilva @dillonnotdylan @bb912

.github/README.md

@@ -1,15 +1,24 @@
 # AI@UCF/core
 
-These meetings are offered every semester, and are tailored for the newcomers to the club. These are what, initially, [@flxsosa][felix-git], [@ionlights][john-git], and [@dibaccory][richard-git], offered at club meetings.
+These meetings are offered every semester, and are tailored for the newcomers to the
+club. These are what, initially, [@jmuchovej][john-git], [@flxsosa][felix-git], and
+[@dibaccory][richard-git], offered at club meetings.
 
+[john-git]: https://github.com/jmuchovej
 [felix-git]: https://github.com/flxsosoa
-[john-git]: https://github.com/ionlights
 [richard-git]: https://github.com/dibaccory
 
-The goal of this `course` is to compensate for the lack of UCF undergraduate coursework in intelligence and related fields (e.g. machine learning, computational neuroscience, etc.). As a semester offering, the overarching idea is that the course material won't change much, but each semester will entail a slight twist on the presentation, as expected with rotating instructors.
+The goal of this `course` is to compensate for the lack of UCF undergraduate coursework
+in intelligence and related fields (e.g. machine learning, computational neuroscience,
+etc.). As a semester offering, the overarching idea is that the course material won't
+change much, but each semester will entail a slight twist on the presentation, as
+expected with rotating instructors.
 
 ## Getting it locally and making use
-Within each `<sem><year>` (e.g. `sp19`) folder, there's an `env.yml` file, which can be used with [Anaconda](anaconda.org). These have only been tested on Linux systems, so version numbers may not be up-to-date on platforms which don't use the Linux Kernel. However, the usage of such `env.yml` files will be detailed below.
+Within each `<sem><year>` (e.g. `sp19`) folder, there's an `env.yml` file, which can be
+used with [Anaconda](anaconda.org). These have only been tested on Linux systems, so
+version numbers may not be up-to-date on platforms which don't use the Linux Kernel.
+However, the usage of such `env.yml` files will be detailed below.
 
 ### Installing the environment
 ```bash
@@ -21,4 +30,6 @@ $ conda env create -f <sem><year>/env.yml
 $ conda activate ucfai-<sem><year>
 ```
 
-**NOTE:** We assume the use of GPU versions of Deep Learning libraries (e.g. PyTorch, TensorFlow, etc.). If you *do not* have a GPU, then you should install the *CPU* versions of said libraries.
+**NOTE:** We assume the use of GPU versions of Deep Learning libraries (e.g. PyTorch,
+TensorFlow, etc.). If you *do not* have a GPU, then you should install the *CPU*
+versions of said libraries.

fa17/10-04-neural-nets-workshop/neural-nets-workshop.ipynb

@@ -19,7 +19,7 @@
     "\n",
     "<div style=\"line-height: 2em;\">\n",
     "    <p>by: \n",
-    "        <a href=\"https://ucfai.org/authors/ionlights\">@ionlights</a>\n",
+    "        <a href=\"https://ucfai.org/authors/jmuchovej\">@jmuchovej</a>\n",
     "        \n",
     "         on Oct 04, 2017</p>\n",
     "</div>"
@@ -53,7 +53,7 @@
   "autobot": {
    "abstract": "UPDATE: We've partnered with TechKnights to throw a lecture+workshop combo during KnightHacks!\nTo finish Unit 0 for the Fall series, we're following up our lecture last week with a workshop.\nHere, we'll build a neural network to classify hand-written digits using a popular dataset, MNIST, with some help from Google's Tensorflow library.\n***Everything will be provided in a self-contained environment for you but you will need to come prepared with the below requirements before the workshop begins.",
    "authors": [
-    "ionlights"
+    "jmuchovej"
    ],
    "date": "2017-10-04T19:30:00",
    "group": "core",

fa17/10-04-neural-nets-workshop/neural-nets-workshop.solution.ipynb

@@ -21,7 +21,7 @@
     "\n",
     "<div style=\"line-height: 2em;\">\n",
     "    <p>by: \n",
-    "        <a href=\"https://ucfai.org/authors/ionlights\">@ionlights</a> on Oct 04, 2017</p>\n",
+    "        <a href=\"https://ucfai.org/authors/jmuchovej\">@jmuchovej</a> on Oct 04, 2017</p>\n",
     "</div>"
    ]
   },
@@ -56,7 +56,7 @@
   "autobot": {
    "abstract": "UPDATE: We've partnered with TechKnights to throw a lecture+workshop combo during KnightHacks!\nTo finish Unit 0 for the Fall series, we're following up our lecture last week with a workshop.\nHere, we'll build a neural network to classify hand-written digits using a popular dataset, MNIST, with some help from Google's Tensorflow library.\n***Everything will be provided in a self-contained environment for you but you will need to come prepared with the below requirements before the workshop begins.",
    "authors": [
-    "ionlights"
+    "jmuchovej"
    ],
    "date": "2017-10-04T19:30:00",
    "group": "core",

fa17/group.yml

@@ -6,7 +6,7 @@ required:
   startdate: !Timestamp 2017-09-27 19:30:00
   frequency: 1
   directors: [flxsosa]
-  coordinators: [ionlights, dibaccory]
+  coordinators: [jmuchovej, dibaccory]
   guests: [aswu, ]
   advisors: [aswu, ]
   summary: >-

fa17/syllabus.yml

@@ -3,7 +3,7 @@
     id: 8f863b4f2ad5d2600cb549cf885be1065f9423efbd7526a3f3e73457fab26bb7
     date: !Timestamp 2017-09-27 19:30:00
     title: 'Lecture: Introductions & An Intro to Neural Networks'
-    authors: [ionlights]
+    authors: [jmuchovej]
     filename: intro-and-neural-nets
     cover-image: ''
     tags: [neural networks, deep learning, backpropagation, gradient descent, optimization, ]
@@ -24,7 +24,7 @@
     id: f4e062e38f3af1c13d1bdd69d4316f7f887c276cccd3b6e262382c49dd4b9263
     date: !Timestamp 2017-10-04 19:30:00
     title: 'Workshop: An Intro to Neural Nets'
-    authors: [ionlights, ]
+    authors: [jmuchovej, ]
     filename: neural-nets-workshop
     cover-image: ''
     tags: [neural networks, deep learning, machine learning, MNIST, TensorFlow, numpy]

fa18/2018-08-29-welcome-back/2018-08-29-welcome-back.ipynb

@@ -21,7 +21,7 @@
    "source": [
     "# Welcome back! Featuring Plotting & Supercomputers\n",
     "---\n",
-    "by: John Muchovej \\([@ionlights](github.com/ionlights/)\\), Evan Waldmann \\([@Waldmannly](github.com/Waldmannly/)\\), on 08 Aug 2018"
+    "by: John Muchovej \\([@jmuchovej](github.com/jmuchovej/)\\), Evan Waldmann \\([@Waldmannly](github.com/Waldmannly/)\\), on 08 Aug 2018"
    ]
   },
   {
@@ -480,7 +480,7 @@
   "sigai": {
    "authors": [
     {
-     "github": "ionlights",
+     "github": "jmuchovej",
      "name": "John Muchovej"
     },
     {

fa18/2018-09-12-learn-numpy-pandas/2018-09-12-learn-numpy-pandas.ipynb

@@ -21,7 +21,7 @@
    "source": [
     "# Intro to Data Analysis with Pandas & Numpy\n",
     "---\n",
-    "by: John Muchovej \\([@ionlights](github.com/ionlights/)\\), on 12 Sep 2018"
+    "by: John Muchovej \\([@jmuchovej](github.com/jmuchovej/)\\), on 12 Sep 2018"
    ]
   },
   {
@@ -1067,7 +1067,7 @@
   "sigai": {
    "authors": [
     {
-     "github": "ionlights",
+     "github": "jmuchovej",
      "name": "John Muchovej"
     }
    ],

fa18/2018-09-26-neural-nets/2018-09-26-neural-nets-old.ipynb

@@ -28,7 +28,7 @@
    "source": [
     "# Intro to Neural Nets, featuring PyTorch\n",
     "---\n",
-    "by: John Muchovej \\([@ionlights](github.com/ionlights/)\\), Chas Kane \\([@ChasKane](github.com/ChasKane/)\\), on 26 Sep 2018"
+    "by: John Muchovej \\([@jmuchovej](github.com/jmuchovej/)\\), Chas Kane \\([@ChasKane](github.com/ChasKane/)\\), on 26 Sep 2018"
    ]
   },
   {
@@ -622,7 +622,7 @@
   "sigai": {
    "authors": [
     {
-     "github": "ionlights",
+     "github": "jmuchovej",
      "name": "John Muchovej"
     },
     {

fa18/2018-09-26-neural-nets/2018-09-26-neural-nets.ipynb

@@ -21,7 +21,7 @@
    "source": [
     "# Intro to Neural Nets, featuring PyTorch\n",
     "---\n",
-    "by: John Muchovej \\([@ionlights](github.com/ionlights/)\\), Chas Kane \\([@ChasKane](github.com/ChasKane/)\\), on 26 Sep 2018"
+    "by: John Muchovej \\([@jmuchovej](github.com/jmuchovej/)\\), Chas Kane \\([@ChasKane](github.com/ChasKane/)\\), on 26 Sep 2018"
    ]
   },
   {
@@ -940,7 +940,7 @@
   "sigai": {
    "authors": [
     {
-     "github": "ionlights",
+     "github": "jmuchovej",
      "name": "John Muchovej"
     },
     {

fa18/2018-10-10-recurrent-nets/2018-10-10-recurrent-nets.ipynb

@@ -21,7 +21,7 @@
    "source": [
     "# Machines That Write Papers for You\n",
     "---\n",
-    "by: John Muchovej \\([@ionlights](github.com/ionlights/)\\), on 10 Oct 2018"
+    "by: John Muchovej \\([@jmuchovej](github.com/jmuchovej/)\\), on 10 Oct 2018"
    ]
   },
   {
@@ -44,7 +44,7 @@
   "sigai": {
    "authors": [
     {
-     "github": "ionlights",
+     "github": "jmuchovej",
      "name": "John Muchovej"
     }
    ],

fa18/2018-11-14-practice-data-cleaning/2018-11-14-practice-data-cleaning.ipynb

@@ -21,7 +21,7 @@
    "source": [
     "# Practice Makes Permanent, but Data's Messy\n",
     "---\n",
-    "by: John Muchovej \\([@ionlights](github.com/ionlights/)\\), on 11 Nov 2018"
+    "by: John Muchovej \\([@jmuchovej](github.com/jmuchovej/)\\), on 11 Nov 2018"
    ]
   },
   {
@@ -44,7 +44,7 @@
   "sigai": {
    "authors": [
     {
-     "github": "ionlights",
+     "github": "jmuchovej",
      "name": "John Muchovej"
     }
    ],

fa18/group.yml

@@ -5,7 +5,7 @@ required:
   semester: fa18
   startdate: !Timestamp 2018-08-29 16:30:00
   frequency: 1
-  directors: [ionlights, ]
+  directors: [jmuchovej, ]
   coordinators: [waldmannly, ahl98, dibaccory, chaskane]
   guests: []
   advisors: []

fa18/syllabus.yml

@@ -3,7 +3,7 @@
     id: 8f863b4f2ad5d2600cb549cf885be1065f9423efbd7526a3f3e73457fab26bb7
     date: !Timestamp 2018-08-29 18:00:00
     title: "Welcome back! Featuring Plotting & Supercomputers"
-    authors: [ionlights, waldmannly, ]
+    authors: [jmuchovej, waldmannly, ]
     filename: welcome-back
     cover-image: 'https://www.autodesk.com/products/eagle/blog/wp-content/uploads/2018/04/shutterstock_1011096853.jpg'
     tags: []
@@ -22,7 +22,7 @@
     id: 6dc27ebdfd28b038c01891fea481029ae06bced5aae1c42b91c96609e98a8263
     date: !Timestamp 2018-09-12 16:30:00
     title: "Intro to Data Analysis with Pandas & Numpy"
-    authors: [ionlights, ]
+    authors: [jmuchovej, ]
     filename: learn-numpy-pandas
     cover-image: 'https://www.cfertech.com/sites/cfertech.com/files/nodefiles/822/RLX_Data_Analysis_banner.jpg'
     tags: []
@@ -55,7 +55,7 @@
     id: 02bd0d1ba8b748d9358b7d92e4026786f78890833071c2067ae912aa2a3d00fe
     date: !Timestamp 2018-09-26 16:30:00
     title: "Intro the Neural Nets, featuring PyTorch"
-    authors: [ionlights, ]
+    authors: [jmuchovej, ]
     filename: neural-nets
     cover-image: ''
     tags: []
@@ -69,7 +69,7 @@
     id: 1367f61cfe397e862d1c2465bdf4cbea5298c37c980328a36c43556e356119b7
     date: !Timestamp 2018-10-03 16:30:00
     title: Teaching Machines to Make Sense of Images
-    authors: [ionlights, ]
+    authors: [jmuchovej, ]
     filename: conv-nets
     cover-image: ''
     tags: []
@@ -83,7 +83,7 @@
     id: 3e589fcdc955f69df131662e4428e5ba2a97cd1e6c2efe62037de2ee3b950bca
     date: !Timestamp 2018-10-10 16:30:00
     title: Machines that Write as Well as Shakespeare
-    authors: [ionlights, ]
+    authors: [jmuchovej, ]
     filename: recurrent-nets
     cover-image: ''
     tags: []
@@ -153,7 +153,7 @@
     id: 5dab7d867ea5cbb561f27a2631b44ea16014565bd4c10cfd95df8cd9f99668ba
     date: !Timestamp 2018-11-14 16:30:00
     title: Practice Makes Permanent, but Data's Messy
-    authors: [ionlights, ]
+    authors: [jmuchovej, ]
     filename: practicing-data-cleaning
     cover-image: ''
     tags: []

fa19/09-18-regression/regression.ipynb

@@ -22,7 +22,7 @@
     "<div style=\"line-height: 2em;\">\n",
     "    <p>by: \n",
     "        <a href=\"https://ucfai.org/authors/jarviseq\">@jarviseq</a> and\n",
-    "        <a href=\"https://ucfai.org/authors/ionlights\">@ionlights</a> on Sep 18, 2019</p>\n",
+    "        <a href=\"https://ucfai.org/authors/jmuchovej\">@jmuchovej</a> on Sep 18, 2019</p>\n",
     "</div>"
    ]
   },
@@ -564,7 +564,7 @@
    "abstract": "You always start with the basics, and in this meeting we are doing just that! We will be going over what Machine Learning consists of and how we can use models to do awesome stuff!",
    "authors": [
     "jarviseq",
-    "ionlights"
+    "jmuchovej"
    ],
    "date": "2019-09-18T17:30:00",
    "group": "core",

fa19/09-18-regression/regression.solution.ipynb

@@ -22,7 +22,7 @@
     "<div style=\"line-height: 2em;\">\n",
     "    <p>by: \n",
     "        <a href=\"https://ucfai.org/authors/jarviseq\">@jarviseq</a> and\n",
-    "        <a href=\"https://ucfai.org/authors/ionlights\">@ionlights</a> on Sep 18, 2019</p>\n",
+    "        <a href=\"https://ucfai.org/authors/jmuchovej\">@jmuchovej</a> on Sep 18, 2019</p>\n",
     "</div>"
    ]
   },
@@ -565,7 +565,7 @@
    "abstract": "You always start with the basics, and in this meeting we are doing just that! We will be going over what Machine Learning consists of and how we can use models to do awesome stuff!",
    "authors": [
     "jarviseq",
-    "ionlights"
+    "jmuchovej"
    ],
    "date": "2019-09-18T17:30:00",
    "group": "core",

fa19/10-02-nns/nns.ipynb

@@ -22,7 +22,7 @@
     "<div style=\"line-height: 2em;\">\n",
     "    <p>by: \n",
     "        <a href=\"https://ucfai.org/authors/jarviseq\">@jarviseq</a> and\n",
-    "        <a href=\"https://ucfai.org/authors/ionlights\">@ionlights</a> on Oct 02, 2019</p>\n",
+    "        <a href=\"https://ucfai.org/authors/jmuchovej\">@jmuchovej</a> on Oct 02, 2019</p>\n",
     "</div>"
    ]
   },
@@ -989,7 +989,7 @@
    "abstract": "You've heard about them: Beating humans at all types of games, driving cars, and recommending your next Netflix series to watch, but what ARE neural  networks? In this lecture, you'll actually learn step by step how neural networks function and learn. Then, you'll deploy one yourself!",
    "authors": [
     "jarviseq",
-    "ionlights"
+    "jmuchovej"
    ],
    "date": "2019-10-02T17:30:00",
    "group": "core",

fa19/10-02-nns/nns.solution.ipynb

@@ -22,7 +22,7 @@
     "<div style=\"line-height: 2em;\">\n",
     "    <p>by: \n",
     "        <a href=\"https://ucfai.org/authors/jarviseq\">@jarviseq</a> and\n",
-    "        <a href=\"https://ucfai.org/authors/ionlights\">@ionlights</a> on Oct 02, 2019</p>\n",
+    "        <a href=\"https://ucfai.org/authors/jmuchovej\">@jmuchovej</a> on Oct 02, 2019</p>\n",
     "</div>"
    ]
   },
@@ -1137,7 +1137,7 @@
    "abstract": "You've heard about them: Beating humans at all types of games, driving cars, and recommending your next Netflix series to watch, but what ARE neural  networks? In this lecture, you'll actually learn step by step how neural networks function and learn. Then, you'll deploy one yourself!",
    "authors": [
     "jarviseq",
-    "ionlights"
+    "jmuchovej"
    ],
    "date": "2019-10-02T17:30:00",
    "group": "core",

fa19/10-23-rnns/rnns.ipynb

@@ -22,7 +22,7 @@
     "<div style=\"line-height: 2em;\">\n",
     "    <p>by: \n",
     "        <a href=\"https://ucfai.org/authors/brandons209\">@brandons209</a> and\n",
-    "        <a href=\"https://ucfai.org/authors/ionlights\">@ionlights</a> on Oct 23, 2019</p>\n",
+    "        <a href=\"https://ucfai.org/authors/jmuchovej\">@jmuchovej</a> on Oct 23, 2019</p>\n",
     "</div>"
    ]
   },
@@ -657,7 +657,7 @@
    "abstract": "This lecture is all about Recurrent Neural Networks. These are networks with memory, which means they can learn from sequential data such as speech, text, videos, and more. Different types of RNNs and strategies for building  them will also be covered. The project will be building a LSTM-RNN to generate new original scripts for the TV series “The Simpsons”. Come and find out if our networks can become better writers for the show!",
    "authors": [
     "brandons209",
-    "ionlights"
+    "jmuchovej"
    ],
    "date": "2019-10-23T17:30:00",
    "group": "core",

fa19/10-23-rnns/rnns.solution.ipynb

@@ -22,7 +22,7 @@
     "<div style=\"line-height: 2em;\">\n",
     "    <p>by: \n",
     "        <a href=\"https://ucfai.org/authors/brandons209\">@brandons209</a> and\n",
-    "        <a href=\"https://ucfai.org/authors/ionlights\">@ionlights</a> on Oct 23, 2019</p>\n",
+    "        <a href=\"https://ucfai.org/authors/jmuchovej\">@jmuchovej</a> on Oct 23, 2019</p>\n",
     "</div>"
    ]
   },
@@ -660,7 +660,7 @@
    "abstract": "This lecture is all about Recurrent Neural Networks. These are networks with memory, which means they can learn from sequential data such as speech, text, videos, and more. Different types of RNNs and strategies for building  them will also be covered. The project will be building a LSTM-RNN to generate new original scripts for the TV series “The Simpsons”. Come and find out if our networks can become better writers for the show!",
    "authors": [
     "brandons209",
-    "ionlights"
+    "jmuchovej"
    ],
    "date": "2019-10-23T17:30:00",
    "group": "core",