UCLA ACM AI

Repositories

• beginner-track-fall-2020

  Here are all the contents we use in our beginner track workshops.
  Jupyter Notebook 0 6 0 0 Updated Nov 11, 2020

• ML_Practical
  0 2 0 0 Updated Nov 4, 2020

• uclaacmai.github.io

  Forked from barryclark/jekyll-now

  ACM AI's tech blog
  Jupyter Notebook MIT 29,612 1 0 0 Updated Oct 15, 2020

• aplusplus_winter20
  0 0 0 0 Updated Feb 1, 2020

• teachla-aimlcourse
  Jupyter Notebook 0 0 0 0 Updated Jan 3, 2020

• advanced-track-fall19
  Jupyter Notebook 1 2 0 0 Updated Nov 23, 2019

• BTrack_Fall19
  0 0 0 0 Updated Nov 22, 2019

• mission-ml-s19
  Python 1 2 0 0 Updated May 29, 2019

• beginner-track-spring19

  repo for beginner track spring 19.
  Jupyter Notebook 3 8 0 0 Updated May 21, 2019

• beginner-track-fall-18

  Repository for ACM AI's Intro to ML: Beginner Track series during the Fall of 2018
  Jupyter Notebook 9 11 0 0 Updated Apr 17, 2019

• advanced-track-winter19
  Jupyter Notebook 0 1 0 0 Updated Mar 2, 2019

• hoth-6-workshop

  ACM AI Workshop for Hack on the Hill VI
  Jupyter Notebook 0 2 0 0 Updated Feb 16, 2019

• advanced-track-fall18

  ACM AI's Advanced Track Workshops, Fall 2018
  Jupyter Notebook 2 8 0 0 Updated Nov 29, 2018

• hoth-workshop

  hoth workshop

  python jupyter-notebook
  Jupyter Notebook 0 0 0 0 Updated Nov 17, 2018

• Generative-Adversarial-Network-Tutorial

  Tutorial on creating your own GAN in Tensorflow

  deep-learning tensorflow jupyter-notebook generative-adversarial-network
  Jupyter Notebook 185 460 2 0 Updated Oct 7, 2018

• beginner-track-spring18

  Repo for the code used during our Beginner Track: Intro to ML workshop series
  Jupyter Notebook 0 12 0 0 Updated Oct 2, 2018

• ml-dev-env

  virtualenv setup for ml packages
  Shell 0 1 0 0 Updated Jun 13, 2018

• advanced-track-spring18

  Repo for the code used during our Advanced Track: Intro to ML workshop series
  Jupyter Notebook 1 9 0 0 Updated May 18, 2018

• intro_neural_s2018
  Jupyter Notebook 0 1 0 0 Updated Apr 20, 2018

• rnn-workshop

  RNN Workshop Week 9 Winter 2018
  Jupyter Notebook 0 2 0 0 Updated Mar 10, 2018

• HOTH-2018-ML-Workshop

  A beginner workshop on how to use logistic regression to identify dog and cat pictures
  Jupyter Notebook 0 1 0 0 Updated Feb 17, 2018

• autoencoder-workshop

  Code for our Autoencoder Workshop, Winter 18 Week 5
  Jupyter Notebook 0 0 0 0 Updated Feb 10, 2018

• Generative_Adversarial_Network_Tutorial_2018

  Updated and simpler generative adversarial network tutorial for Winter 2018 workshop series
  Jupyter Notebook 1 2 0 0 Updated Jan 27, 2018

• paper-analysis

  Analysis & Implementation of deep learning papers for paper reading sessions
  Jupyter Notebook 1 15 0 0 Updated Jan 20, 2018

• tf-workshop-series-fall17

  Fall 2017 edition of Tensorflow Workshop Series
  Jupyter Notebook 22 17 0 0 Updated Dec 1, 2017

• tf-workshop-series

  Code, Slides, & Materials for our Tensorflow Workshop Series for Spring Quarter 2017
  Jupyter Notebook 15 65 0 0 Updated Oct 9, 2017

• Live-Demos

  Live Demos for the ACM AI's first meeting of 2017
  Jupyter Notebook 0 3 0 0 Updated Oct 6, 2017

• ai-wiki

  Centralized resources and documentation for ACM AI.
  0 3 0 0 Updated Jul 4, 2017

• tensorflow-examples

  Some examples to go along with the tensorflow workshop series.
  Jupyter Notebook 1 1 0 0 Updated May 1, 2017

• Machine-Learning-for-March-Madness

  Using historical data to predict games in the March Madness Tournament
  Jupyter Notebook 1 4 0 0 Updated Apr 25, 2017