Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
☆60May 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code Release for "On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies"☆16Apr 13, 2021Updated 4 years ago
- Low Precision Arithmetic Simulation in PyTorch☆290May 20, 2024Updated last year
- Get started with Swift for TensorFlow by examples☆30Jun 3, 2019Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆39Jun 10, 2019Updated 6 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
- ☆77Jun 7, 2019Updated 6 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
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89May 29, 2019Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- ☆22Nov 24, 2018Updated 7 years ago
- ☆11Jan 2, 2022Updated 4 years ago
- ☆20Mar 5, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆45Jan 17, 2020Updated 6 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Apr 24, 2019Updated 6 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 6 years ago
- Code for ICML 2021 submission☆35Mar 24, 2021Updated 5 years ago
- [COLING22] Text-to-Text Extraction and Verbalization of Biomedical Event Graphs☆10Nov 5, 2022Updated 3 years ago
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆12Aug 15, 2019Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Feb 11, 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
- Code release for "TempLM: Distilling Language Models into Template-Based Generators"☆14Jul 21, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent☆16Sep 8, 2022Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 6 years ago
- Lookahead Optimizer: k steps forward, 1step back for MXNet☆21Jun 28, 2020Updated 5 years ago
- AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks☆17Jan 27, 2021Updated 5 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆91Jul 26, 2022Updated 3 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆254Nov 8, 2018Updated 7 years ago
- Equi-normalization of Neural Networks☆116May 21, 2019Updated 6 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Feb 14, 2020Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25May 1, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Poincaré Event Temporal Embeddings and Hyperbolic GRU for Event TempRel Extraction☆11Nov 8, 2021Updated 4 years ago
- ConvNet training using pytorch☆348Feb 4, 2021Updated 5 years ago
- MoEx (Moment Exchange)☆140Jun 24, 2021Updated 4 years ago
- Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples☆11Jun 12, 2018Updated 7 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Mar 21, 2019Updated 7 years ago
- ☆32Aug 1, 2018Updated 7 years ago
- ☆10Oct 12, 2021Updated 4 years ago