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Updated schedule dates and policies (paper presentations, final, final project)
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‎Gemfile.lock

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specs:
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addressable (2.8.7)
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public_suffix (>= 2.0.2, < 7.0)
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bigdecimal (3.1.8)
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colorator (1.1.0)
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concurrent-ruby (1.3.4)
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em-websocket (0.5.3)
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eventmachine (>= 0.12.9)
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http_parser.rb (~> 0)
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eventmachine (1.2.7)
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ffi (1.17.0-arm64-darwin)
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ffi (1.17.0-x86_64-linux-gnu)
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ffi (1.17.0-x86_64-linux)
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forwardable-extended (2.6.0)
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google-protobuf (4.28.1-arm64-darwin)
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bigdecimal
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rake (>= 13)
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google-protobuf (4.28.1-x86_64-linux)
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bigdecimal
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rake (>= 13)
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google-protobuf (3.25.5-arm64-darwin)
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google-protobuf (3.25.5-x86_64-linux)
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http_parser.rb (0.8.0)
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i18n (1.14.6)
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concurrent-ruby (~> 1.0)
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rexml (3.3.7)
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rouge (4.3.0)
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safe_yaml (1.0.5)
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sass-embedded (1.78.0-arm64-darwin)
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google-protobuf (~> 4.27)
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sass-embedded (1.78.0-x86_64-linux-gnu)
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google-protobuf (~> 4.27)
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sass-embedded (1.69.5)
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google-protobuf (~> 3.23)
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rake (>= 13.0.0)
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sass-embedded (1.69.5-arm64-darwin)
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google-protobuf (~> 3.23)
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terminal-table (3.0.2)
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unicode-display_width (>= 1.1.1, < 3)
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unicode-display_width (2.6.0)
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webrick (1.8.1)
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PLATFORMS
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arm64-darwin
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x86_64-linux-gnu
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x86_64-linux
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DEPENDENCIES
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jekyll (~> 4.3.4)
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just-the-docs (= 0.10.0)
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BUNDLED WITH
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2.5.9
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2.5.15

‎docs/past/past.md

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## Past Offerings
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<br>
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<a href="/nmep/docs/past/fa24.html">Fall 2024</a>
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<a href="https://machine-learning-berkeley.gitbook.io/nmep-website-1">Spring 2024</a>

‎docs/policies.md

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layout: home
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---
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## Policies
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### Lectures
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Lectures are on Mondays, 8-10 pm @ AAPB 115, except common midterms (CS61ABC, 70, etc.) and holidays.
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### Attendance
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Attendance is mandatory. If you absolutely cannot make it to lecture, please DM Tim or Tejas.
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Attendance is mandatory. If you absolutely cannot make it to lecture, please DM Sara or Saathvik.
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### Homework
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Throughout the semester, we'll be releasing homework that accompanies lectures. To subvert limitless extensions, we'll be implementing a hard extension policy requiring you to turn in homework **at most 4 days after the deadline**. This policy is for your benefit and will help you keep pace with the course!
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### Homeworks
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Throughout the semester, we'll be releasing homeworks that accompanies lectures. To subvert limitless extensions, we'll be implementing a hard extension policy requiring you to turn in homework **at most 4 days after the deadline**. This policy is for your benefit and will help you keep pace with the course!
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We'll also be hosting weekly **homework parties** so you can ask questions and work with your fellow new members on the homework.
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Homework parties are Fridays, 12pm-2pm (11am-12pm for those who can't make it) @ BWW Floor 3.
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### Projects
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### Paper presentations
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Starting from week 4, a group of two will present a given paper each week.
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Please make sure to add your name to this
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[signup sheet](https://docs.google.com/spreadsheets/d/1u_LFTWkpmpNt0mm_kbxT32tvuML6_H1xTlVFzsqnYhg/edit?usp=sharing).
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For reference, you ay use these [slide template](https://docs.google.com/presentation/d/1CgUaMp7eyq2N8LlilqNMbZAsr1BtTzEkW7HA5eIfWKc/edit?usp=sharing).
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### Final
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During the last week of instruction, you will have a final exam, covering all topics that have been taught through the semester. It will be carried out individually and will take about an hour, where you will be asked to answer questions orally.
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### Final project
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Towards the latter half of NMEP, you'll also be completing a project of your choosing with the help of mentors (older ML@B members). Project teams will be **3-4 people**, and there will be a final project showcase at the end of the semester so you can talk about the ✨cool✨ things you built/discovered!
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‎docs/resources.md

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layout: home
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---
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## [Server Form](https://forms.gle/zybsuJ7CwQCXeHni6)
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### [Server Form](https://forms.gle/zybsuJ7CwQCXeHni6)
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### HW 0 (Math)
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- [Princeton NEU 314](http://pillowlab.princeton.edu/teaching/mathtools16/slides/lec10_LeastSquaresRegression.pdf) Sections 1 through 2.1 (Least squares with vector calculus)

‎index.md

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Welcome everyone!
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In the New Member Education Program (NMEP), we'll be paving a sturdy ML foundation for you—from classical ML to diffusion models. Come hungry to learn and get to know the rest of your class!
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Your instructor this semester is Sara Eginova!
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Your instructors this semester are [Sardaana Eginova](mailto:[email protected]) and [Saathvik Selvan](mailto:[email protected])!
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### Schedule
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<tr> <th style="max-width: 30px;">Week</th> <th>Date</th> <th>Lecture</th> <th>Assignments</th> <th>Lecturer(s)</th> </tr>
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<tr>
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<td style="max-width: 30px;">1</td>
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<td>Sep 23</td>
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<td>Intro + Background Review (<a href="https://docs.google.com/presentation/d/16QicPaSS0YFcJvTFSn1yea5n_ORVMcbxCHjeDyoQSKg/edit?usp=drive_link">slides</a>)</td>
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<td><span class="label"><strong>Lecture Exercise</strong></span> <a href="https://drive.google.com/file/d/1UM2w5BrJrEcI69_eqhIn-t1yrdC7XzY9/view?usp=drive_link">Rockfall</a><br>
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<td>Feb 10</td>
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<td>Intro + Background Review
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<!-- (<a href="https://docs.google.com/presentation/d/16QicPaSS0YFcJvTFSn1yea5n_ORVMcbxCHjeDyoQSKg/edit?usp=drive_link">slides</a>) -->
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</td>
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<td>
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<!-- <span class="label"><strong>Lecture Exercise</strong></span> <a href="https://drive.google.com/file/d/1UM2w5BrJrEcI69_eqhIn-t1yrdC7XzY9/view?usp=drive_link">Rockfall</a>
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<br>
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<span class="label label-yellow"><strong>Homework 0</strong></span>
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<a href="/fa24-nmep/assets/hw0/hw0-math.pdf">Math Review</a>
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<a href="/fa24-nmep/assets/hw0/hw0-pandas.ipynb">Pandas</a>
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<a href="/fa24-nmep/assets/hw0/hw0-numpy.ipynb">Numpy</a></td>
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<td></td>
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<a href="/fa24-nmep/assets/hw0/hw0-numpy.ipynb">Numpy</a> -->
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</td>
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<td>
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Sara, Saathvik
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</td>
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</tr>
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<tr>
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<td style="max-width: 30px;">2</td>
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<td>Sep 30</td>
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<td>Classical ML (<a href="https://docs.google.com/presentation/d/13NwgyAVt6c79NgEvChtRHKd2ntMheDY2qmMQlMmAAS4/edit?usp=drive_link">slides</a>)</td>
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<td>Feb 17</td>
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<td>Classical ML</td>
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<td></td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">3</td>
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<td>Oct 7</td>
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<td>Deep Learning (<a href="https://docs.google.com/presentation/d/1IaGEpob6Qa-fMGCZFIUshslQtlx97rVo3ZvB59ddKO8/edit?usp=drive_link">slides</a>)</td>
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<td><span class="label label-yellow"><strong>Homework 1</strong></span>
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<a href="/fa24-nmep/assets/hw1/hw1-review-worksheet.pdf">Neural Networks Review</a>
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<a href="https://drive.google.com/file/d/1Up6oxVNy7W_htigekfo2uYSslChIcEof/view?usp=drive_link">Intro to Pytorch</a>
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<a href="https://drive.google.com/drive/folders/1KQLOSiGAPHW-6ORCwtECIkyfUqdNklSu?usp=drive_link">Word Embeddings</a>
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<td>Feb 24</td>
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<td>Deep Learning</td>
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<td>
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</td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">4</td>
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<td>Oct 14</td>
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<td>CNNs <s>& Object Detection</s> (<a href="https://docs.google.com/presentation/d/1FQ-RNjrANvdVjQIY4LFaHAlm9-hNVxRftKNYj56n2K4/edit?usp=sharing">slides</a>)</td>
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<td><span class="label label-yellow"><strong>Homework 2</strong></span>
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<a href="https://github.com/mlberkeley/fa24-nmep-hw2/">Model Zhu</a>
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<td>Mar 3</td>
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<td>CNNs & Object Detection</td>
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<td>
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</td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">5</td>
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<td>Oct 21</td>
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<td>Mar 10</td>
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<td>No Lecture (social!!)</td>
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<td></td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">6</td>
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<td>Oct 28</td>
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<td>NLP & Transformers 1 (<a href="https://docs.google.com/presentation/d/1fTUTXPFuVr-kULgG36PDJVrSdbRMfSLf_tQGnCGAXUY/edit#slide=id.g2fa7bb19c0a_0_0">slides</a>)</td>
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<td><span class="label label-yellow"><strong>Homework 3</strong></span>
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<a href="https://github.com/tejasprabhune/hw3-transformers">Transformers</a>
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<a href="/fa24-nmep/assets/hw3/hw3-worksheet.pdf">Worksheet</a>
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<td>Mar 17</td>
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<td>NLP & Transformers 1</td>
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<td>
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</td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">7</td>
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<td>Nov 4</td>
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<td>Transformers 2 (<a href="https://docs.google.com/presentation/d/1-qNWqIUD-ld3ijqEhUexp6Usg_ze39hQXXrmdwLc-nI/edit#slide=id.g2fa7bb19c0a_0_0">slides</a>)</td>
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<td>Mar 31</td>
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<td>Transformers 2</td>
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<td></td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">8</td>
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<td>Nov 11</td>
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<td>Self-supervised Learning (<a href="https://docs.google.com/presentation/d/1sOigbq6bcI3TIiQD3necn3LrmqJKEJOIoDJnxSN7sfE/edit?usp=drive_link">slides</a>)</td>
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<td>Apr 7</td>
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<td>Self-supervised Learning</td>
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<td><span class="label label-green"><strong>Final Project Proposal</strong></span></td>
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<td></td>
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<td style="max-width: 30px;">9</td>
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<td>Nov 18</td>
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<td>RL (<a href="https://docs.google.com/presentation/d/1ewH5WvMKY0v0n8izLtlwmAskf5zdIcOftNFbO6uP474/edit?usp=sharing">slides</a>)</td>
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<td>Apr 14</td>
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<td>RL</td>
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<td></td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">10</td>
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<td>Nov 25</td>
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<td>Ethics, Object Detection (<a href="https://docs.google.com/presentation/d/1FQ-RNjrANvdVjQIY4LFaHAlm9-hNVxRftKNYj56n2K4/edit?usp=sharing">slides</a>)</td>
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<td><span class="label label-green"><strong>Final Project Checkpoint</strong></span><br><span class="label"><strong>Extra Exercise</strong></span> <a href="https://colab.research.google.com/drive/1nDIw-Kj3_6bvhXpBW_W_jMuoNvJeBVo9?usp=drive_link">YOLO</a></td>
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<td>Apr 21</td>
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<td>GANs, Diffusion</td>
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<td><span class="label label-green"><strong>Final Project Checkpoint</strong></span></td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">11</td>
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<td>Dec 2</td>
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<td>GANs (<a href="https://docs.google.com/presentation/d/17QeISP3fi5MZN-n9_-8PKVMe9Q-qrmlwkCOUAXv2LZw/edit?usp=drive_link">slides</a>), Diffusion (<a href="https://docs.google.com/presentation/d/1Dy9_zs4MrgM7w4IY8lrikp_orFUGNYgnwNuhnsGF61o/edit?usp=drive_link">slides</a>)</td>
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<td>Apr 28</td>
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<td>Ethics</td>
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<td><span class="label label-red"><strong>NMEP Final</strong></span>
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<a href="https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2OIBta2aWKLomTShrIrXbohnK0j6ERU7zkiJmBsAQrUkBFn2t7we6KJzza3gPvFbhLFP-s44ry">Signups 1</a>
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<a href="https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2Z09UrGFK02sdKhja3VvnVJCc5hSF_9URqSvP038A9YXuKCpjWyzRioGCd683x6U4bngWZARtS">Signups 2</a> (if the other one is full)
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<br><span class="label"><strong>Lecture Exercise</strong></span> <a href="https://github.com/tejasprabhune/lec10-diffusion">Diffusion</a></td>
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</td>
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<td></td>
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</tr>
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<td style="max-width: 30px;">12</td>
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<td>Dec 9</td>
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<td>May 5</td>
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<td>No Lecture (final presentations)</td>
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<td><span class="label label-green"><strong>Final Project Due</strong></span></td>
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<td></td>

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