Pinned Repositories
CR-SFP
ImgeNet_MindSpore_Pipline
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
MaxQ
Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.
Neural-Network-Pruning-through-its-RegularGraph-Structure
Pytorch implementation of our paper RGP: Neural Network Pruning Through Regular Graph With Edges Swapping accepted by TNNLS.
OvSW
Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.
paper_reading
paper_recording_2021
大四阶段的论文阅读记录
PointCloud-Record
记录点云SemanticKITTI论文阅读记录
SUBP
Pytorch implementation of our paper SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration accepted by NeurIPS 2023.
JingyangXiang's Repositories
JingyangXiang/MaxQ
Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.
JingyangXiang/SUBP
Pytorch implementation of our paper SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration accepted by NeurIPS 2023.
JingyangXiang/OvSW
Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.
JingyangXiang/PointCloud-Record
记录点云SemanticKITTI论文阅读记录
JingyangXiang/Neural-Network-Pruning-through-its-RegularGraph-Structure
Pytorch implementation of our paper RGP: Neural Network Pruning Through Regular Graph With Edges Swapping accepted by TNNLS.
JingyangXiang/ImgeNet_MindSpore_Pipline
JingyangXiang/paper_reading
JingyangXiang/paper_recording_2021
大四阶段的论文阅读记录
JingyangXiang/CR-SFP
JingyangXiang/jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
JingyangXiang/JingyangXiang.github.io
JingyangXiang/BiDet
This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.
JingyangXiang/bolt-noah
Bolt is a deep learning library with high performance and heterogeneous flexibility.
JingyangXiang/cs-self-learning
计算机自学指南
JingyangXiang/d2l-mindspore
《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。
JingyangXiang/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
JingyangXiang/Latex-Poster-Template
LaTex Poster for S3-NeRF (NeurIPS 2022)
JingyangXiang/FQ-ViT
[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
JingyangXiang/OmniQuant
[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
JingyangXiang/Optimization-on-Stiefel-Manifold-via-Cayley-Transform
Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
JingyangXiang/QQQ
QQQ is an innovative and hardware-optimized W4A8 quantization solution.