Event-based neural networks
-
Updated
May 24, 2024 - Python
Event-based neural networks
Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
(ICLR 2024, CVPR 2024) SparseFormer
[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
DiSK: Distilling Scaffolded Knowledge from Teacher to Student.
Official pytorch implementation for PSUMNet for efficient skeleton action recognition
Embedded and mobile deep learning research resources
[KDD'22] Learned Token Pruning for Transformers
Code and resources on scalable and efficient Graph Neural Networks
[ICML'21 Oral] I-BERT: Integer-only BERT Quantization
Library for Structured Matrices (approximation methods and structured layers for neural networks)
Hypercomplex Neural Networks with PyTorch
Finding Storage- and Compute-Efficient Convolutional Neural Networks
NeurIPS 2019 MicroNet Challenge
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"
[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"
Add a description, image, and links to the efficient-neural-networks topic page so that developers can more easily learn about it.
To associate your repository with the efficient-neural-networks topic, visit your repo's landing page and select "manage topics."