#计算机科学#EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
#计算机科学#Embedded and mobile deep learning research resources
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
翻译 - Efficient Graph Neural Networks - 论文和项目的精选列表
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
#自然语言处理#[ICML'21 Oral] I-BERT: Integer-only BERT Quantization
#计算机科学#[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"
#计算机科学#Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
#自然语言处理#[KDD'22] Learned Token Pruning for Transformers
#计算机科学#[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
(ICLR 2024, CVPR 2024) SparseFormer
Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"
Hypercomplex Neural Networks with PyTorch
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
#计算机科学#[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition
Event-based neural networks
Official pytorch implementation for PSUMNet for efficient skeleton action recognition
Finding Storage- and Compute-Efficient Convolutional Neural Networks
NeurIPS 2019 MicroNet Challenge