yashbhalgat / QualcommAI-MicroNet-submission-MixNet
3rd place solution for NeurIPS 2019 MicroNet challenge
☆35Updated 5 years ago
Alternatives and similar repositories for QualcommAI-MicroNet-submission-MixNet:
Users that are interested in QualcommAI-MicroNet-submission-MixNet are comparing it to the libraries listed below
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- ☆35Updated 5 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆38Updated 2 years ago
- ☆47Updated 4 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- ☆56Updated 4 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated last year
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆30Updated last year
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- ☆53Updated 6 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 2 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 3 years ago
- ☆46Updated 5 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆104Updated 3 years ago
- ☆69Updated 5 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules☆40Updated 2 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 2 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆157Updated 4 years ago
- Algorithm-hardware Co-design for Deformable Convolution☆24Updated 4 years ago