snap-research / efficient-nn-tutorialLinks
Page for the CVPR 2023 Tutorial - Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployments
☆12Updated 2 years ago
Alternatives and similar repositories for efficient-nn-tutorial
Users that are interested in efficient-nn-tutorial are comparing it to the libraries listed below
Sorting:
- ☆22Updated 2 years ago
- ☆17Updated 3 years ago
- An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch and mmcv☆18Updated 3 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…☆76Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated 2 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆72Updated 2 years ago
- [ACCV2022 (Oral)] Efficient Hardware-aware Neural Architecture Search for Image Super-resolution on Mobile Devices☆18Updated 2 years ago
- ☆13Updated last year
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- Code for RepNAS☆13Updated 3 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 3 years ago
- Accepted by AAAI2022☆21Updated 3 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)☆73Updated 2 years ago
- Faster depthwise convolutions for PyTorch☆66Updated 5 years ago
- [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"☆29Updated 2 years ago
- Benchmarking Attention Mechanism in Vision Transformers.☆18Updated 2 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2021 -- Revisiting Discriminator in GAN Compression: A Generator-discriminator Co…☆35Updated 3 years ago
- DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos☆59Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆33Updated 11 months ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated 2 years ago
- Unified Architecture Search with Convolution, Transformer, and MLP (ECCV 2022)☆54Updated 2 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated 2 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆120Updated 3 years ago
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆59Updated 3 years ago
- Official implementation for paper "DyRep: Bootstrapping Training with Dynamic Re-parameterization", CVPR 2022☆43Updated 3 years ago
- Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)☆18Updated 2 years ago
- Official implementation for the paper "Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy".☆11Updated 2 years ago