larq / zoo
Reference implementations of popular Binarized Neural Networks
☆107Updated last week
Alternatives and similar repositories for zoo:
Users that are interested in zoo are comparing it to the libraries listed below
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆158Updated 3 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Binarize convolutional neural networks using pytorch☆142Updated 2 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆110Updated last year
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆276Updated last year
- Highly optimized inference engine for Binarized Neural Networks☆248Updated last week
- DNN quantization with outlier channel splitting☆112Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆96Updated 3 years ago
- Quantization of Convolutional Neural networks.☆244Updated 7 months ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- ☆47Updated 3 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆81Updated 2 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆260Updated last year
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- Low Precision Arithmetic Simulation in PyTorch☆272Updated 10 months ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 10 months ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- ☆47Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆157Updated 4 years ago
- ☆53Updated 6 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆184Updated 3 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆271Updated 3 months ago
- The collection of training tricks of binarized neural networks.☆72Updated 3 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆380Updated 4 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated 8 months ago
- A research library for pytorch-based neural network pruning, compression, and more.☆160Updated 2 years ago