lehduong / NPTMLinks
Network Pruning That Matters: A Case Study on Retraining Variants (ICLR 2021)
☆17Updated 4 years ago
Alternatives and similar repositories for NPTM
Users that are interested in NPTM are comparing it to the libraries listed below
Sorting:
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 3 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆39Updated 3 years ago
- Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)☆26Updated 5 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 3 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆32Updated last year
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Updated 2 years ago
- ☆43Updated last year
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆21Updated 3 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 4 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 4 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)☆43Updated 4 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆22Updated 5 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- ☆35Updated 5 years ago
- [CVPR 2022] DiSparse: Disentangled Sparsification for Multitask Model Compression☆14Updated 3 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆13Updated 5 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆52Updated 3 years ago
- ☆26Updated 3 years ago
- Algorithm-hardware Co-design for Deformable Convolution☆24Updated 4 years ago
- ☆13Updated 4 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 4 years ago