Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
-
Updated
May 17, 2024
Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
Approximating a 3DCNN with a 2DCNN
NeurIPS 2019 MicroNet Challenge
Library for Structured Matrices (approximation methods and structured layers for neural networks)
Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.
(ICLR 2024, CVPR 2024) SparseFormer
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
DiSK: Distilling Scaffolded Knowledge from Teacher to Student.
[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition
Finding Storage- and Compute-Efficient Convolutional Neural Networks
Event-based neural networks
Official pytorch implementation for PSUMNet for efficient skeleton action recognition
Hypercomplex Neural Networks with PyTorch
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"
[KDD'22] Learned Token Pruning for Transformers
[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network 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'21] Neural Pruning via Growing Regularization (PyTorch)
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."