A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
☆37Dec 5, 2021Updated 4 years ago
Alternatives and similar repositories for EfficientPyTorch
Users that are interested in EfficientPyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆138Nov 19, 2020Updated 5 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆316May 8, 2024Updated 2 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Aug 30, 2021Updated 5 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Nov 15, 2020Updated 5 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆304Aug 1, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆49Jan 21, 2022Updated 4 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆141Apr 28, 2022Updated 4 years ago
- Awesome Quantization Paper lists with Codes☆10Feb 24, 2021Updated 5 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆37Mar 2, 2022Updated 4 years ago
- Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference.☆11May 15, 2018Updated 8 years ago
- ☆28Oct 21, 2020Updated 6 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆34Jun 16, 2020Updated 6 years ago
- Model Quantization Benchmark☆887Apr 20, 2025Updated last year
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Nov 4, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆282Dec 8, 2023Updated 2 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Sep 17, 2018Updated 8 years ago
- ☆11Jan 12, 2023Updated 3 years ago
- Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy☆16Jan 27, 2019Updated 7 years ago
- ☆42Mar 28, 2024Updated 2 years ago
- LSQ+ or LSQplus☆83Oct 1, 2026Updated 3 weeks ago
- Pytorch implementation of EfficientNet Lite variants☆15Mar 24, 2023Updated 3 years ago
- ☆30Jun 24, 2026Updated 4 months ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆63May 2, 2020Updated 6 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.
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15May 18, 2022Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆97Jun 10, 2021Updated 5 years ago
- Code to implement the experiments in "Post-training Quantization for Neural Networks with Provable Guarantees" by Jinjie Zhang, Yixuan Zh…☆10Jun 2, 2023Updated 3 years ago
- ☆17Oct 25, 2022Updated 4 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆23Feb 17, 2020Updated 6 years ago
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆409Feb 26, 2021Updated 5 years ago
- A 8-/16-/32-/64-bit floating point number family☆16Feb 4, 2022Updated 4 years ago
- ☆25Nov 22, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆17Jul 10, 2022Updated 4 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆20Feb 24, 2019Updated 7 years ago
- vision transformer; post-training quantization; model compression; ViT☆13Sep 1, 2026Updated last month
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated 2 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆84Dec 30, 2022Updated 3 years ago
- HW-PR-NAS is a single surrogate model trained to Pareto rank the architectures based on Accuracy, Latency and energy consumption☆17Oct 15, 2022Updated 4 years ago
- Summary, Code for Deep Neural Network Quantization☆562Sep 1, 2026Updated last month