vballoli / ENAS-CNNLinks
Implementation of ENAS for CNNs on CIFAR 10 
☆11Updated 6 years ago
Alternatives and similar repositories for ENAS-CNN
Users that are interested in ENAS-CNN are comparing it to the libraries listed below
Sorting:
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
 - [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
 - BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆41Updated 4 years ago
 - A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
 - PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Updated 5 years ago
 - XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
 - pytorch fixed point training tool/framework☆34Updated 5 years ago
 - ☆40Updated 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
 - Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
 - A pytorch implementation of dorefa quantization☆113Updated 5 years ago
 - ☆35Updated 6 years ago
 - BitSplit Post-trining Quantization☆50Updated 3 years ago
 - ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆259Updated 3 years ago
 - The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆137Updated 4 years ago
 - Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 6 years ago
 - [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆73Updated 4 years ago
 - ☆52Updated 6 years ago
 - The code for Joint Neural Architecture Search and Quantization☆13Updated 6 years ago
 - [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 5 years ago
 - Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
 - Reproducing Quantization paper PACT☆64Updated 3 years ago
 - Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago
 - aw_nas: A Modularized and Extensible NAS Framework☆251Updated 2 years ago
 - PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆56Updated 6 years ago
 - [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆14Updated 4 years ago
 - Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 3 years ago
 - [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
 - PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
 - Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆112Updated 5 years ago