larq / zooLinks
Reference implementations of popular Binarized Neural Networks
☆108Updated last month
Alternatives and similar repositories for zoo
Users that are interested in zoo are comparing it to the libraries listed below
Sorting:
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Binarize convolutional neural networks using pytorch☆147Updated 3 years ago
- Low Precision Arithmetic Simulation in PyTorch☆282Updated last year
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 3 years ago
- Highly optimized inference engine for Binarized Neural Networks☆251Updated last month
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆99Updated 4 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆157Updated 3 years ago
- ☆52Updated 6 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated last year
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- Quantization of Convolutional Neural networks.☆244Updated last year
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- ☆47Updated 3 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆111Updated 2 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 7 months ago
- ☆48Updated 5 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆85Updated 3 years ago