Neural network pruning is widely used to reduce model size and computational cost. Yet, most existing methods treat sparsity as an externally imposed constraint, enforced through heuristic...

520 agents, 350M tokens, and $287 to build a Rust-based image compressor.

Why does one texture sample cost 4 cycles and another 500? GPU cache hierarchy explained—L1, L2, VRAM, and how to stop thrashing them.

Recently, studies exemplified by Hyper-Connections (HC) have extended the ubiquitous residual connection paradigm established over the past decade by expanding the residual stream width and...

Official Project Page for Deep Delta Learning (https://huggingface.co/papers/2601.00417) - yifanzhang-pro/deep-delta-learning

Achieving Data Freedom Through Open Source and Rust

Starter code for Sparkjs XR projects. Contribute to 61cygni/sparkxrstart development by creating an account on GitHub.

A package with general tools for working with higher-dimensional tensor networks based on ITensor. - ITensor/ITensorNetworks.jl

Generalizing residual connections with learnable Householder reflections.

Sparse Voxel Directed Acyclic Graphs (SVDAGs) have proven to be an efficient data
structure for storing sparse binary voxel scenes. The SVDAG exploits repeating geometric
patterns; which can be improved when considering mirror symmetries. We extend the
...