larq / zooLinks
Reference implementations of popular Binarized Neural Networks
☆107Updated 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
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆110Updated 2 years ago
- DNN quantization with outlier channel splitting☆112Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated last year
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆97Updated 3 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆230Updated 3 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆82Updated 2 years ago
- Low Precision Arithmetic Simulation in PyTorch☆277Updated last year
- Highly optimized inference engine for Binarized Neural Networks☆250Updated 2 weeks ago
- ☆47Updated 3 years ago
- Quantization of Convolutional Neural networks.☆243Updated 9 months ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- ☆47Updated 4 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆157Updated 3 years ago
- ☆53Updated 6 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated last year
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆157Updated 4 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆273Updated 5 months ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- Binarize convolutional neural networks using pytorch☆146Updated 3 years ago
- Repository containing pruned models and related information☆37Updated 4 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
- ☆56Updated 4 years ago
- Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models☆66Updated 2 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago