”sparsity“ 的搜索结果

Direct Sparse Odometry

PyTorch native quantization and sparsity for training and inference

#自然语言处理#Sparsity-aware deep learning inference runtime for CPUs

Spatial Sparse Convolution Library

Submanifold sparse convolutional networks

OpenVDB - Sparse volume data structure and tools

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

An industrial deep learning framework for high-dimension sparse data

Structure learning for sparse graphs with latent variables

Fast jacobian computation through sparsity exploitation and matrix coloring

[ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

Few-view CT reconstruction with group-sparsity regularization

Gaussian Process package based on data augmentation, sparsity and natural gradients

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

#计算机科学#Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks

Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017

This code implements sparsity-regularized spectral unmixing of hyperspectral images

PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity

Code for phase retrieval of signals with underlying structured sparsity.

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

#计算机科学#A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

System object definitions for sparsity-aware image and volumetric data restoration

MATLAB codes for "Group-sparsity learning approach for bearing fault diagnosis"