Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
☆62May 11, 2019Updated 6 years ago
Alternatives and similar repositories for SWALP
Users that are interested in SWALP are comparing it to the libraries listed below
Sorting:
- Get started with Swift for TensorFlow by examples☆31Jun 3, 2019Updated 6 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆40Jun 10, 2019Updated 6 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- ☆77Jun 7, 2019Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Feb 11, 2021Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Jan 5, 2021Updated 5 years ago
- Low Precision Arithmetic Simulation in PyTorch☆292May 20, 2024Updated last year
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89May 29, 2019Updated 6 years ago
- Code for joint neural network training☆20May 30, 2019Updated 6 years ago
- Scene Parsing with Global Context Embedding, ICCV 2017☆22Feb 28, 2018Updated 8 years ago
- ☆32Aug 1, 2018Updated 7 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Jun 12, 2018Updated 7 years ago
- Lookahead Optimizer: k steps forward, 1step back for MXNet☆21Jun 28, 2020Updated 5 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Oct 30, 2019Updated 6 years ago
- Proximal Asynchronous SAGA☆13Nov 30, 2017Updated 8 years ago
- ☆23Nov 24, 2018Updated 7 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Nov 8, 2018Updated 7 years ago
- ☆10Oct 12, 2021Updated 4 years ago
- [COLING22] Text-to-Text Extraction and Verbalization of Biomedical Event Graphs☆10Nov 5, 2022Updated 3 years ago
- Simple Tensorflow implementation of Batch-Instance Normalization (NIPS 2018)☆39Oct 1, 2018Updated 7 years ago
- Code needed to reproduce results from my ICLR 2019 paper on fixed-point quantization of the backprop algorithm.☆10Jan 24, 2019Updated 7 years ago
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Dec 18, 2019Updated 6 years ago
- PyTorch DL Tutorial using Torchsample☆11May 2, 2017Updated 8 years ago
- Stochastic Machines for Unsupervised Learning implemented in Pytorch.☆10Sep 3, 2017Updated 8 years ago
- Demonstration of using Caffe2 inside an Android application.☆68Dec 23, 2018Updated 7 years ago
- Long Short-Term Memory Neural Networks trained and tested on the TIMIT Acoustic-Phonetic Continuous Speech Corpus.☆11Aug 27, 2017Updated 8 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Apr 24, 2019Updated 6 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Mar 21, 2019Updated 6 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27May 13, 2019Updated 6 years ago
- ConvNet training using pytorch☆348Feb 4, 2021Updated 5 years ago
- ☆47Jan 17, 2020Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆216Mar 10, 2018Updated 7 years ago
- Implementation of Feature Saliency Hidden Markov Model (Adams, et al, 2016)☆14Dec 8, 2022Updated 3 years ago
- Equi-normalization of Neural Networks☆116May 21, 2019Updated 6 years ago
- Poincaré Event Temporal Embeddings and Hyperbolic GRU for Event TempRel Extraction☆11Nov 8, 2021Updated 4 years ago
- Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"☆12Feb 11, 2019Updated 7 years ago
- ☆10Jan 8, 2020Updated 6 years ago
- ☆26Feb 13, 2021Updated 5 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆29Oct 31, 2020Updated 5 years ago