dcmocanu / sparse-evolutionary-artificial-neural-networks
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).
☆247Updated 3 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
- ☆71Updated 5 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 6 years ago
- demonstration of the information bottleneck theory for deep learning☆61Updated 7 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆137Updated 5 years ago
- Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset☆89Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆76Updated 5 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆309Updated 2 years ago
- Evolution Strategy Library☆55Updated 4 years ago
- ☆144Updated 2 years ago
- A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)☆223Updated 4 years ago
- Experiments with Direct Feedback Alignment training scheme for DNNs☆31Updated 8 years ago
- Keras implementation of Legendre Memory Units☆213Updated 3 weeks ago
- Deep Neural Networks Entropy from Replicas☆32Updated 5 years ago
- Implementing Bayes by Backprop☆183Updated 6 years ago
- Example of "biological" learning for MNIST☆293Updated 3 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- ☆182Updated 9 months ago
- ☆133Updated 7 years ago
- Implements stochastic line search☆118Updated 2 years ago
- ☆59Updated 6 years ago
- Deep Learning without Weight Transport☆35Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- ☆33Updated 4 years ago
- Sample implementation of Neural Ordinary Differential Equations☆260Updated 6 years ago
- ☆225Updated 9 months ago
- ☆66Updated 6 years ago
- NTK reading group☆88Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆38Updated 3 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆289Updated 4 years ago