Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions (in PyTorch)
☆21May 13, 2018Updated 8 years ago
Alternatives and similar repositories for diagonalwise-refactorization-pytorch
Users that are interested in diagonalwise-refactorization-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions (in Caffe)☆34Dec 29, 2017Updated 8 years ago
- This repo contains code for *Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications*.☆11May 3, 2018Updated 8 years ago
- ☆13Apr 2, 2018Updated 8 years ago
- This repo contains code for *FD-MobileNet: Improved MobileNet with A Fast Downsampling Strategy*.☆35May 3, 2018Updated 8 years ago
- ☆10Apr 13, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- My implementation of the vehicle anomaly detection from https://github.com/ShuaiBai623/AI-City-Anomaly-Detection☆10Aug 30, 2019Updated 7 years ago
- Lowering PyTorch's Memory Consumption for Selective Differentiation☆12Aug 29, 2024Updated 2 years ago
- Fast Style Transfer in Pytorch☆10Mar 1, 2017Updated 9 years ago
- Simple replication of PyTorch by pure python and numpy☆19Mar 28, 2019Updated 7 years ago
- Code for the Paper "GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting"☆15Dec 1, 2024Updated last year
- PyTorch implementation of AIM 2022 reverse ISP challenge by MiAlgo team.☆12Oct 20, 2022Updated 4 years ago
- Real-time augmentation of data for inputs into deep learning models.☆21Mar 16, 2016Updated 10 years ago
- Advancing natural human–AI conversation through smooth, adaptive interaction modeling.☆16Jun 12, 2026Updated 5 months ago
- ☆13Aug 19, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- PyTorch code for our CVPRW 2020 paper "MMDM: Multi-frame and Multi-scale for Image Demoiréing"☆17Apr 17, 2020Updated 6 years ago
- Securing Data Analytics on Intel SGX using Randomization☆13Aug 30, 2017Updated 9 years ago
- Improved the performance of 8-bit PTQ4DM expecially on FID.☆11Aug 30, 2023Updated 3 years ago
- Multi Kernel Linear Mixed Models for Complex Phenotype Prediction☆10Jul 6, 2022Updated 4 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18May 7, 2019Updated 7 years ago
- ☆12Oct 31, 2022Updated 4 years ago
- ☆11Sep 26, 2022Updated 4 years ago
- ☆10Jan 20, 2020Updated 6 years ago
- On-device Speech-to-Intent engine powered by deep learning 🧠☆11Aug 13, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The power-law compressed phase-aware asymmetric (PLCPA-ASYM) loss☆15Sep 4, 2023Updated 3 years ago
- lua apply function for cutorch☆17Jan 5, 2017Updated 9 years ago
- Illumination invariant images☆19Oct 3, 2018Updated 8 years ago
- Implemention of CapsNet from the paper Dynamic Routing Between Capsules☆10Nov 7, 2017Updated 9 years ago
- Temporal Denoising Mask Synthesis Network for Learning Blind Video Temporal Consistency☆32Jun 6, 2021Updated 5 years ago
- ☆10Sep 3, 2016Updated 10 years ago
- A simple calculator for computing the number of parameters and FLOPs in convolutional neural networks with PyTorch-like APIs.☆21Jan 23, 2018Updated 8 years ago
- Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-P…☆10Aug 24, 2017Updated 9 years ago
- Code for paper "Label Noise Types and Their Effects on Learning"☆18Nov 14, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆10Nov 1, 2021Updated 5 years ago
- The matlab code of Sparse Contextual Activation (SCA) published in TIP 2016☆10Mar 18, 2018Updated 8 years ago
- Generic Sharing Kit API for Qt☆12Nov 7, 2014Updated 12 years ago
- ☆12Aug 18, 2023Updated 3 years ago
- ☆10Jul 30, 2021Updated 5 years ago
- a list of awesome papers on deep model ompression and acceleration☆10Jan 29, 2018Updated 8 years ago
- semantic segmentation using pytorch☆11Dec 1, 2017Updated 8 years ago
Are these results useful?