team-approx-bayes / BayesBiNN
Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
☆37Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for BayesBiNN
- ☆53Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 4 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆73Updated 4 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆49Updated 2 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆101Updated 4 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆31Updated 4 years ago
- Implementation of BinaryConnect on Pytorch☆36Updated 3 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆46Updated 3 years ago
- [ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vi…☆30Updated 8 months ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆87Updated last year
- ☆82Updated 4 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆82Updated 5 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆33Updated 4 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 3 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆43Updated 4 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆41Updated 4 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆105Updated 5 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- A simple pytorch implementation of Differentiable Architecture Search (DARTS)☆18Updated 5 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆31Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆28Updated 5 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 3 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆56Updated 2 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆16Updated 5 years ago
- ☆22Updated 6 years ago