Binary neural networks developed by Huawei Noah's Ark Lab
☆29Feb 19, 2021Updated 5 years ago
Alternatives and similar repositories for Binary-Neural-Networks
Users that are interested in Binary-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs☆16Sep 10, 2019Updated 6 years ago
- [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation☆11Jan 6, 2023Updated 3 years ago
- ☆42Dec 15, 2022Updated 3 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆264Nov 11, 2021Updated 4 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Jun 22, 2022Updated 3 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Dec 30, 2022Updated 3 years ago
- ☆35Mar 4, 2020Updated 6 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- ☆28Nov 5, 2021Updated 4 years ago
- ☆11Apr 3, 2023Updated 2 years ago
- ☆12Aug 26, 2022Updated 3 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆34Jun 16, 2020Updated 5 years ago
- ☆45Jul 14, 2021Updated 4 years ago
- Proximal Mean-field for Neural Network Quantization☆21Apr 9, 2020Updated 5 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Feb 24, 2022Updated 4 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Feb 3, 2025Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆37Aug 20, 2024Updated last year
- Quantization in the Jagged Loss Landscape of Vision Transformers☆13Oct 22, 2023Updated 2 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15May 18, 2022Updated 3 years ago
- ☆14Oct 24, 2022Updated 3 years ago
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Sep 8, 2023Updated 2 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Mar 4, 2024Updated 2 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆128Jan 2, 2020Updated 6 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Jul 14, 2023Updated 2 years ago
- ACL 2023☆39Jun 6, 2023Updated 2 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 6 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- Structured Binary Neural Networks for Image Recognition☆16Oct 12, 2022Updated 3 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆181Mar 14, 2020Updated 5 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Mar 28, 2021Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Jun 29, 2023Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆52Jul 10, 2023Updated 2 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Nov 1, 2024Updated last year
- The collection of training tricks of binarized neural networks.☆72Apr 2, 2021Updated 4 years ago
- [CVPR 2025] Official repository for GETA☆39Nov 5, 2025Updated 4 months ago
- Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity…☆25Oct 31, 2022Updated 3 years ago
- ☆22Oct 26, 2022Updated 3 years ago