There are 3 repositories under efficient-neural-networks topic.
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
Embedded and mobile deep learning research resources
Code and resources on scalable and efficient Graph Neural Networks
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
[ICML'21 Oral] I-BERT: Integer-only BERT Quantization
[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
[KDD'22] Learned Token Pruning for Transformers
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
(ICLR 2024, CVPR 2024) SparseFormer
Hypercomplex Neural Networks with PyTorch
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition
Official pytorch implementation for PSUMNet for efficient skeleton action recognition
Event-based neural networks
Finding Storage- and Compute-Efficient Convolutional Neural Networks
NeurIPS 2019 MicroNet Challenge
DiSK: Distilling Scaffolded Knowledge from Teacher to Student.
Approximating a 3DCNN with a 2DCNN
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.
Library for Structured Matrices (approximation methods and structured layers for neural networks)
Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation