[D] Feature Selection Techniques for Very Large Datasets
[P] S2ID: Scale Invariant Image Diffuser - trained on standard MNIST, generates 1024x1024 digits and at arbitrary aspect ratios with almost no artifacts at 6.1M parameters (Drastic code change and architectural improvement)
[P] NOMA: Neural networks that realloc themselves during training (compile-time autodiff to LLVM IR)
[R] How to decide between which theoretical result to present?
ModelCypher: A toolkit for the geometry of LLMs (open source) [P]
