Mxbonn / visualwakewordsLinks
Python library to work with the Visual Wake Words Dataset.
☆38Updated 4 years ago
Alternatives and similar repositories for visualwakewords
Users that are interested in visualwakewords are comparing it to the libraries listed below
Sorting:
- Reference implementations of popular Binarized Neural Networks☆108Updated 2 weeks ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆81Updated 4 years ago
- Repository containing pruned models and related information☆37Updated 4 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
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆261Updated last year
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- ☆48Updated 5 years ago
- Quantization of Convolutional Neural networks.☆245Updated last year
- TFLite model analyzer & memory optimizer☆131Updated last year
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- ☆47Updated 3 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Updated last year
- Tutorials on Quantized Neural Network using Tensorflow Lite☆87Updated 6 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 3 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 7 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 9 months ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆147Updated 7 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆112Updated 2 years ago
- ☆57Updated 4 years ago
- Fast NPU-aware Neural Architecture Search☆22Updated 4 years ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆101Updated 7 months ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆99Updated 4 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆393Updated 4 years ago