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SuryaKrishnapillaiSuryaKrishnapillai
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assignment cleanup
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‎docs/past/fa25.md‎

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@@ -36,8 +36,6 @@ Your instructors this semester are [Aaditya Agnihotri](mailto:aaditya_agni@berke
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<td>
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<span class="label"><strong>Lecture Exercise</strong></span>
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<a href="https://drive.google.com/file/d/1p_QsJX3d3T3mSeePed0_CDieP39g83Pc/view?usp=drive_link">Rockfall</a>
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<a href="https://drive.google.com/file/d/1r1_Kj7nzAd10DLk9D87AZet81uEnhBIa/view?usp=drive_link">Sol.</a>
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<br>
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<span class="label label-yellow"><strong>Homework 1</strong> (due 9/26)</span>
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<a href="/nmep/assets/hw1/hw1-numpy.ipynb">Numpy</a>
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<br>
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<span class="label label-purple"><strong>Solutions</strong></span>
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<a href="/assets/hw4/transformers_pseudo_fa25_sol.pdf">Transformer Basics Solutions</a>
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<br>
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<span class="label label-yellow"><strong>Homework 4</strong> (due 3/28)</span>
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<a href="docs/homeworks/hw4.html">Transformers!</a>
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‎index.md‎

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<tr>
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<td style="max-width: 30px;">2</td>
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<td>Feb 16</td>
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<td>Classical ML
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(<a href="https://docs.google.com/presentation/d/1K2fFV9_dYichrDxjXkIZ04aJ_cgfNfeIc6JI5hesdQY">slides</a>)
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</td>
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<td>
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<span class="label label-yellow"><strong>Homework 1</strong> (due 9/26)</span>
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<a href="/nmep/assets/hw1/hw1-math.pdf">Math</a>
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</td>
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<td>Classical ML</td>
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<td></td>
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<td>Surya</td>
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</tr>
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<td style="max-width: 30px;">3</td>
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<td>Feb 23</td>
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<td>Deep Learning (<a href="https://docs.google.com/presentation/d/14RE7f7HXmqpzRjGxOvJunsJ-vnWSvi7ENvag4pGrW1c/">slides</a>)</td>
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<td>
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<span class="label label-red"><strong>Reading</strong></span>
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<a href="https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf">How to read a paper</a>
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<!-- <span class="label"><strong>Worksheet</strong></span>
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<a href="/nmep/assets/hw2/wk2-nns-worksheet.pdf">NNs</a> -->
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<br>
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<span class="label label-yellow"><strong>Homework 2</strong> (due 10/6)</span>
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<a href="https://drive.google.com/drive/folders/1fSEXCMcF8t8U4UCQDlkncTFR5b72KhPs">Word Embeddings</a>
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</td>
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<td>Deep Learning</td>
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<td></td>
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<td>Surya</td>
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</tr>
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<td style="max-width: 30px;">4</td>
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<td>March 2</td>
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<td>Computer Vision (<a href="https://docs.google.com/presentation/d/15xuS2jh0KqBKpTMyNwb-DhgsvEER2-A8IFNwBd6RzZE/edit?usp=sharing">slides</a>)</td>
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<td>
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<span class="label"><strong>Lecture Exercise</strong></span>
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<a href="https://colab.research.google.com/drive/1aBFBPwhhulkr8n2eRkGygPJsrTekXNk6?usp=sharing">YOLO</a>
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<br />
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<span class="label label-yellow"><strong>Homework 3</strong> (due 10/20)</span>
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<a href="docs/homeworks/hw3.html">Model Zhu</a>
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</td>
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<td>Computer Vision</td>
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<td></td>
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<td>Tim, Andrew</td>
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</tr>
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<td style="max-width: 30px;">5</td>
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<td>March 9</td>
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<td>NLP + Transformers I (<a href="https://docs.google.com/presentation/d/1QAqkpaoEulM478d3REZHvZYb_uNEQe8XptfVyPF_I4c/edit?usp=sharing">slides</a>)</td>
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<td>NLP + Transformers I</td>
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<td></td>
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<td>Surya</td>
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</tr>
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<td style="max-width: 30px;">6</td>
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<td>March 16</td>
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<td>Transformers II + LLMs (<a href="https://docs.google.com/presentation/d/11Cg3YT4JDLdou8v18p7sruhxOvNXnLt8swQL5sEkf2E/edit?usp=sharing">slides</a>) </td>
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<td>
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<span class="label"><strong>Worksheet</strong></span>
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<a href="/assets/hw4/transformers_pseudo_fa25.pdf">Transformer Basics</a>
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<br>
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<span class="label label-purple"><strong>Solutions</strong></span>
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<a href="/assets/hw4/transformers_pseudo_fa25_sol.pdf">Transformer Basics Solutions</a>
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<br>
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<span class="label label-yellow"><strong>Homework 4</strong> (due 3/28)</span>
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<a href="docs/homeworks/hw4.html">Transformers!</a>
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</td>
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<td>Transformers II + LLMs</td>
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<td></td>
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<td>Tejas</td>
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<tr>
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<tr>
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<td style="max-width: 30px;">10</td>
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<td>March 30</td>
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<td>TBD(<a href="https://docs.google.com/presentation/d/1_whj4gntfZ35t_3uzTJLfMXKF7DJouAzeMIdG_iQPGM/edit?usp=sharing">slides</a>)</td>
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<span class="label"><strong>Lecture Exercise</strong></span>
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<!-- <a href="https://github.com/tejasprabhune/lec10-diffusion">U-Net</a> -->
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</td>
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<td>TBD</td>
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<td></td>
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<td>TBD</td>
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<td>Generative Models(<a href="https://docs.google.com/presentation/d/1EK1BM6dbD8GslEg218Qfz579cg_KcQC6T91pF4lhjx4/edit?usp=sharing">slides</a>)</td>
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<span class="label label-yellow"><strong>Homework 5 Part 1</strong> (due Nov 17)</span>
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<a href="https://colab.research.google.com/drive/1FPC6aq6oye9VMVNYb837pCwj3Bv9zsBy?usp=sharing">U-Nets and Diffusion!</a>
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</td>
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<td>Generative Models</td>
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<td></td>
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<td>Surya</td>
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<td>Apr 13</td>
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<td>Reinforcement Learning(<a href="https://docs.google.com/presentation/d/1NU4cYmHmOZGF3L_j78qVQ1LKqcu7dk7dtSzio1kn0iA/edit?usp=sharing">slides</a>)</td>
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<!--<span class="label">
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<strong>Lecture Exercise</strong>
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</span>
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<a href="https://colab.research.google.com/drive/1A8OUfUPW4DOSbQ8Ieb1soa_AsPR7IQOy?usp=sharing">Ant PPO</a> -->
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</td>
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<td>Reinforcement Learning</td>
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<td></td>
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<td>Surya</td>
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