An opinionated list of Python frameworks, libraries, tools, and resources
You have a map of the frozen lake. Every crack in the ice, every slippery patch, every hole is marked. You can sit at your desk and plan the perfect route before stepping foot on the ice. That is value iteration. Now imagine you have no map. You lace up your boots and start walking. You slip, you fall into holes, you backtrack. But each time you learn a little more about which moves pay off and wh
The first time I implemented Vamana from the DiskANN paper, my approximate nearest neighbor index was slower than brute force. On tiny test fixtures, brute force took 0.27 ms per query. My Vamana implementation took 22.98 ms. That sounds absurd. ANN exists to skip work. The problem was not the algorithm. It was how I mapped the paper's abstractions to actual data structures. The DiskANN pseudocode