Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
☆261Jul 21, 2021Updated 4 years ago
Alternatives and similar repositories for sparse-evolutionary-artificial-neural-networks
Users that are interested in sparse-evolutionary-artificial-neural-networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆71Jan 27, 2020Updated 6 years ago
- [ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"☆13May 2, 2022Updated 4 years ago
- [Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Tra…☆18Oct 2, 2023Updated 2 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆115Jun 26, 2019Updated 6 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆337Jan 26, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola P…☆15May 13, 2022Updated 4 years ago
- Quick tutorial to Deep Rewiring☆15Dec 23, 2018Updated 7 years ago
- Sparse learning library and sparse momentum resources.☆384Jun 6, 2022Updated 4 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…☆78Mar 13, 2022Updated 4 years ago
- Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)☆22Feb 14, 2022Updated 4 years ago
- Implementation of OpenAI's Evolution Strategies in PyTorch.☆20Apr 22, 2020Updated 6 years ago
- ☆567Jan 4, 2023Updated 3 years ago
- Series of tutorials to show how to use gVXR☆10May 13, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Rapid hyperparameter discovery for neural nets using genetic algorithms☆187Jan 26, 2021Updated 5 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity☆22Jan 13, 2023Updated 3 years ago
- Evolution Strategy Library☆57Jun 11, 2020Updated 6 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Dec 15, 2022Updated 3 years ago
- Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies☆29May 30, 2022Updated 4 years ago
- Code for "Adversarial Defense by Stratified Convolutional Sparse Coding"☆19Jul 27, 2019Updated 6 years ago
- Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.☆12Jan 31, 2021Updated 5 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆78Jan 9, 2023Updated 3 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆17Mar 16, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34May 21, 2023Updated 3 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Aug 3, 2022Updated 3 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Feb 15, 2023Updated 3 years ago
- Python implementation of Hierarchical Random Graphs☆20Jul 16, 2023Updated 2 years ago
- Deep Neuroevolution☆1,663Jan 8, 2024Updated 2 years ago
- General phase regularized MRI reconstruction using phase cycling☆16Oct 12, 2017Updated 8 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Jul 4, 2018Updated 7 years ago
- PyTorch Implementations of Augmented Random Search☆17Feb 28, 2019Updated 7 years ago
- Word embedding via tensor decomposition.☆23Mar 27, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- SVGD implementation☆12Jul 23, 2018Updated 7 years ago
- [AAAI 2021] "ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques", Yuanxin Liu, Zheng Lin, Fengcheng Yuan☆14Oct 18, 2022Updated 3 years ago
- Image inpainting via dictionary learning and sparse representation.☆52Jun 5, 2019Updated 7 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆33Jul 10, 2020Updated 5 years ago
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆122Oct 3, 2023Updated 2 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆32Oct 25, 2020Updated 5 years ago
- Building a population of models that trade crypto and mutate iteratively☆165Mar 9, 2021Updated 5 years ago