Mxbonn / visualwakewordsLinks
Python library to work with the Visual Wake Words Dataset.
☆39Updated 5 years ago
Alternatives and similar repositories for visualwakewords
Users that are interested in visualwakewords are comparing it to the libraries listed below
Sorting:
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆81Updated 4 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated 3 weeks ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- ☆48Updated 3 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- TFLite model analyzer & memory optimizer☆132Updated last year
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Binarize convolutional neural networks using pytorch☆148Updated 3 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- PyTorch Static Quantization Example☆38Updated 4 years ago
- ☆48Updated 5 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 10 months ago
- Quantization of Convolutional Neural networks.☆243Updated last year
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆112Updated 5 years ago
- Repository containing pruned models and related information☆37Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- ☆57Updated 4 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- Repository to track the progress in model compression and acceleration☆106Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆158Updated 5 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
- papers about model compression☆165Updated 2 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Updated 4 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆113Updated 5 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago