[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
☆74Nov 15, 2022Updated 3 years ago
Alternatives and similar repositories for EcoFormer
Users that are interested in EcoFormer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"☆33Dec 30, 2021Updated 4 years ago
- [AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"☆97Jun 19, 2022Updated 3 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆120Dec 12, 2021Updated 4 years ago
- [CVPR 2023] This is the official PyTorch implementation for "Dynamic Focus-aware Positional Queries for Semantic Segmentation".☆61Mar 4, 2023Updated 3 years ago
- ☆18Oct 4, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated 2 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"☆304Nov 17, 2023Updated 2 years ago
- Benchmarking Attention Mechanism in Vision Transformers.☆20Oct 10, 2022Updated 3 years ago
- [TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.☆116Dec 30, 2023Updated 2 years ago
- [ECCV 2024] This is the official implementation of "Stitched ViTs are Flexible Vision Backbones".☆29Jan 23, 2024Updated 2 years ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Jun 12, 2024Updated last year
- A collection of object-compositional modeling by implicit neural representation.☆59Aug 12, 2023Updated 2 years ago
- [ECCV 2022] AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers☆29Nov 14, 2022Updated 3 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆40Mar 11, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆25Mar 29, 2024Updated 2 years ago
- ☆14Jun 22, 2025Updated 10 months ago
- [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference☆30Mar 14, 2024Updated 2 years ago
- ☆32Feb 29, 2024Updated 2 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Jul 7, 2022Updated 3 years ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆107Feb 26, 2024Updated 2 years ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆44Nov 25, 2021Updated 4 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Jul 23, 2023Updated 2 years ago
- ☆16Sep 12, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆45Dec 10, 2022Updated 3 years ago
- FMS Model Optimizer is a framework for developing reduced precision neural network models.☆21Apr 3, 2026Updated last month
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆247Mar 28, 2023Updated 3 years ago
- The implementation of Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning☆13Apr 14, 2024Updated 2 years ago
- ☆13Oct 29, 2021Updated 4 years ago
- [CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".☆14Sep 1, 2022Updated 3 years ago
- [AAAI 2021] (oral) Progressive One-shot Human Parsing, [TPAMI 2023] End-to-end One-shot Human Parsing☆72Aug 12, 2023Updated 2 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15May 18, 2022Updated 3 years ago
- [ICLR 2023] PyTorch implementation of VLDet (https://arxiv.org/abs/2211.14843)☆191Mar 22, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☯︎[ACMMM'22] Official PyTorch Implementation of Towards Unbiased Visual Emotion Recognition via Causal Intervention☆20Jul 20, 2022Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 5 years ago
- [FGVC9-CVPR 2022] The second place solution for 2nd eBay eProduct Visual Search Challenge.☆26Aug 9, 2022Updated 3 years ago
- 🖨️ [TPAMI'25] Explicit Correspondence Matching for Generalizable Neural Radiance Fields☆180Aug 27, 2025Updated 8 months ago
- 😺 [ECCV'22] Sem2NeRF: Converting Single-View Semantic Masks to NeRFs☆126Aug 13, 2022Updated 3 years ago
- [NeurIPS 2020] "FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training" by Yonggan Fu, Ha…☆10Feb 13, 2022Updated 4 years ago
- 基于insightface训练mobilefacenet的调试步骤,更改模型后一层训练结果为99.683% in lfw and 96.717 in agedb. Now pls move to the new mobilefacenet-V2…☆11Aug 28, 2018Updated 7 years ago