yashkant / enas-quantized-nets
Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.
☆5Updated 6 years ago
Alternatives and similar repositories for enas-quantized-nets
Users that are interested in enas-quantized-nets are comparing it to the libraries listed below
Sorting:
- Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.☆24Updated 6 years ago
- Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.☆3Updated 6 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 6 years ago
- ☆23Updated 6 years ago
- ☆33Updated 6 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆44Updated 5 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"