Check out one of my 📄 articles or 📊 visualizations!
| Type | Link | Description |
|---|---|---|
| 📄 | Backprop Explainer | Learn backpropagation with interactive visualizations and live training |
| 📊 | VAE Explainer | Live running Varational Autoencoder with interactive data |
| 📊 | VQ-VAE Explainer | Live running Vector-Quantized Varational Autoencoder with interactive data |
| 📄 | Interactive Autoencoders | Learn how vanilla autoencoders work with live training |
| 📄 | Neural Net Quantization | Learn how quantization changes neural network behavior |
| 📊 | DendroMap CIFAR | Explore ML Image datasets at scale (CIFAR resnet embeddings) |
| 📊 | DendroMap MNIST | Explore ML Image datasets at scale (VAE MNIST embeddings) |
| 📊 | TSNE Grid CIFAR | Explore image embeddings with TSNE Grid |
| 📊 | TSNE Grid Live MNIST | See TSNE over time gridified with ObservableHQ |
| 📊 | Cross-filter Flights | Cross-filter histograms for millions of data points |
| 📊 | Cross-filter Movies | Cross-filter histograms for 3k movies |
| 📊 | Explore Venom Proteins | Analyze venom protein structures for function |
| 📊 | UMAP Swissprot Proteins | Explore the function of hundreds of thousands of proteins in a scatterplot |
| 📊 | Explore ARC AGI | Explore all data points in the public ARC-AGI v1 dataset |
| 📄 | Resnet Face Localizer | fMRI localization on a Resnet model |
Click here to see more random projects you might find interesting
- https://github.com/xnought/dnacount.go (Count DNA Nucleotide frequencies and GC Bias from FASTA in Parallel in Go)
- https://github.com/xnought/bpe.cpp (byte-pair encoder training in c++ for speed)
- https://github.com/xnought/biogen (GPT-like model implemented from scratch for generating paper titles from bioRxiv)
- https://github.com/xnought/deeplocalizer (Find function specific activations in torch models w/ fMRI-like localization)
- https://github.com/xnought/tensorscript (Tensor Libary entirely on WebGPU + autograd)
- https://github.com/xnought/webgpu-compute (WebGPU JS Library to easily run compute shader/kernels)
- https://github.com/cmudig/falcon-vis/ (Cross-filter billions of data points with no delay in JS)
- https://github.com/xnought/rand-eca (Random Number Generator with Elementary Cellular Automata in Matlab)
- https://github.com/xnought/grid-assign (Linear Assignment problem high-level JS API)
- https://github.com/xnought/numerical-linear-algebra (Various Matrix Decompositions and Algorithms in Matlab)
- https://github.com/xnought/dbash (simple linux shell from scratch in C)
- https://github.com/xnought/js-grad (Backwards Autodiff library in JS)
- https://github.com/xnought/learn-circuits (Verilog circuits for add, multiply, ...)
- https://github.com/xnought/string-add (Symbolic digit addition in Zig)
- https://github.com/xnought/protein-scatter (LLM trained on Foldseek 3Di and projected to 2D with UMAP in PyTorch)
- https://github.com/xnought/protein-zip (Huffman Coding on PDB file in Python)
- https://github.com/xnought/fastpandas (Python API that compiles and executes DuckDB SQL lazily)
- https://github.com/xnought/bitstore (Store bitmasks efficiently in JS)
- https://github.com/xnought/autoprompt (Improve your prompt using known effective prompts for LLMs)
- https://github.com/xnought/hyperloglog (Hyperloglog algorithm from scratch in Python)
- https://github.com/xnought/error-graph (Visualize where your ML model misbehaves with a graph)
- https://github.com/xnought/ClipQuery (Use natural language to query images in SQL)
- https://github.com/xnought/evolutionarily-stable-strategies (Game theoretic strategies head-to-head in Python)
- https://github.com/xnought/integral-rust (Simple analytical integration in Rust)
- https://github.com/xnought/matmul.c (Matrix multiply using OpenMP and SIMD)