nikvaessen / Rethinking-Binarized-Neural-Network-OptimizationLinks
Reproduction of "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization" for the Reproducibility challenge@NeurIPS19
☆11Updated 5 years ago
Alternatives and similar repositories for Rethinking-Binarized-Neural-Network-Optimization
Users that are interested in Rethinking-Binarized-Neural-Network-Optimization are comparing it to the libraries listed below
Sorting:
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- ☆52Updated 6 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Low Precision Arithmetic Simulation in PyTorch☆286Updated last year
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- EP☆18Updated 4 years ago
- ☆20Updated 3 years ago
- BNNs (XNOR, BNN and DoReFa) implementation for PyTorch 1.0+☆40Updated 2 years ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆36Updated 3 years ago
- ☆38Updated 4 years ago
- Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests☆46Updated 3 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆86Updated 3 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
- Binarize convolutional neural networks using pytorch☆148Updated 3 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- Reproduction of WAGE in PyTorch.☆44Updated 6 years ago
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆16Updated 3 years ago
- Quantization-aware training with spiking neural networks☆48Updated 3 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated 3 weeks ago
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 2 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Updated 6 years ago
- ☆40Updated last year
- ☆16Updated 5 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92Updated last year
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated last year
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- Binarized Neural Network (BNN) for pytorch☆526Updated last year
- DNN quantization with outlier channel splitting (ICML'19)☆113Updated 5 years ago
- ☆12Updated 4 years ago