An algorithm for classification from a graph-sparse support
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Jan 30, 2019 - Jupyter Notebook
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structured-sparsity
Here are 7 public repositories matching this topic...
Generalized Linear Models with the Exclusive Lasso Penalty
statistics sparsity statistical-learning high-dimensional-data lasso regularization generalized-linear-models structured-sparsity exclusive-lasso
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Aug 20, 2021 - R
MLP-Rank: A graph theoretical approach to structured pruning of deep neural networks based on weighted Page Rank centrality as introduced by the related thesis.
machine-learning neural-network pagerank graph-theory pruning multilayer-perceptron structured-sparsity inference-optimization centrality-measures weighted-pagerank
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Apr 22, 2024 - Python
INT8 Sparse Tensor Core GEMM for PyTorch — built for Windows
windows gpu cuda inference pytorch nvidia sparse quantization gemm int8 ptx structured-sparsity tensor-cores vram-optimization
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Feb 16, 2026 - Cuda
Custom CUDA kernels for accelerating 1.58-bit ternary LLM inference with 2:4 structured sparsity on consumer Ampere GPUs. Exploits both ternary arithmetic (no multiplies) and hardware sparse tensor cores to maximize throughput on RTX 3060. Based on the Sparse-BitNet paper (Zhang et al., 2026).
sparsity gpu cuda transformer cpp17 cuda-kernels quantization ampere structured-sparsity bitnet ternary-weights cusparselt llm-inference
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Mar 11, 2026 - Cuda
Accelerate INT8 sparse inference in PyTorch on Windows with minimal setup. Achieve high performance using Sparse Tensor Cores without Linux dependencies.
windows gpu cuda inference pytorch nvidia sparse quantization gemm int8 ptx structured-sparsity tensor-cores vram-optimization
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Feb 28, 2026
Extending Sparse Dictionary Learning Methods for Adversarial Robustness
constrained-optimization sparse-coding dictionary-learning structured-sparsity basis-pursuit adversarial-robustness group-sparsity
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Nov 12, 2023
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