https://woletee.github.io/diffusion-papers-/Recent content on Papers & CodeHugoen-usSun, 23 Aug 2026 00:00:00 +0000https://woletee.github.io/diffusion-papers-/diffusion/ddpm/Sun, 23 Aug 2026 00:00:00 +0000https://woletee.github.io/diffusion-papers-/diffusion/ddpm/A plain-English, picture-first explanation of Denoising Diffusion Probabilistic Models (Ho, Jain &amp; Abbeel, 2020), with a minimal runnable PyTorch implementation.https://woletee.github.io/diffusion-papers-/understanding-transformers/Tue, 04 Aug 2026 00:00:00 +0000https://woletee.github.io/diffusion-papers-/understanding-transformers/<h2 id="paper">Paper</h2> <p><a href="https://arxiv.org/abs/1706.03762">Attention Is All You Need</a></p> <h2 id="the-problem">The problem</h2> <p>Explain the problem using your own words.</p> <h2 id="main-idea">Main idea</h2> <p>Describe the important concepts, diagrams, and equations.</p> <h2 id="python-implementation">Python implementation</h2> <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"><span class="line"><span class="cl"><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">softmax</span><span class="p">(</span><span class="n">values</span><span class="p">):</span> </span></span><span class="line"><span class="cl"> <span class="n">exp_values</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">values</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">values</span><span class="p">))</span> </span></span><span class="line"><span class="cl"> <span class="k">return</span> <span class="n">exp_values</span> <span class="o">/</span> <span class="n">exp_values</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl"><span class="nb">print</span><span class="p">(</span><span class="n">softmax</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span class="p">])))</span> </span></span></code></pre></div><h2 id="what-i-learned">What I learned</h2> <p>Summarize the practical lessons and link to your complete GitHub project.</p>https://woletee.github.io/diffusion-papers-/about/Mon, 01 Jan 0001 00:00:00 +0000https://woletee.github.io/diffusion-papers-/about/About this site