munagekar / nnpso
Training of Neural Network using Particle Swarm Optimization
☆29Updated 6 years ago
Alternatives and similar repositories for nnpso:
Users that are interested in nnpso are comparing it to the libraries listed below
- Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)☆58Updated 10 months ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 2 years ago
- Genetic algorithm to optimize Keras Sequential model☆21Updated 6 years ago
- A collection of black-box optimizers with a focus on evolutionary algorithms☆27Updated 5 years ago
- Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture☆25Updated 7 years ago
- Particle Swarm Optimizer For Neural Network Training☆56Updated 6 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆54Updated 6 years ago
- PyTorch implementation of various reinforcement learning algorithms☆18Updated 7 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Tensorflow 2.0 implementation of STAR RNN☆10Updated 4 years ago
- A fast implementation of Particle Swarm Optimization using PyTorch in GPU☆29Updated 3 years ago
- Population Based Training of Neural Network implemented in Keras☆34Updated 2 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- Code for my blog post "Design by Evolution"☆21Updated 7 years ago
- Several implementations of the kernel-based activation functions☆61Updated 5 years ago
- Training Neural Network with Particle Swarm Optimization☆13Updated 6 years ago
- KERAS: Multimodal Deep Learning for Semantic Segmentation (RGB, NIR Streams) - multiple architectures☆11Updated 7 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆45Updated 4 years ago
- Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.☆58Updated 4 years ago
- RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…☆20Updated 6 years ago
- Evolving deep neural network agents using Genetic Algorithms☆67Updated 6 years ago
- Minimal implementation of a radial basis function network.☆75Updated 5 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆70Updated 4 years ago
- Stock price prediction using ensemble MLP in PyTorch.☆35Updated 7 years ago
- Capsule Network for classification of Fashion-MNIST dataset.☆10Updated 7 years ago
- QPSO algorithm for multi-parameters optimization☆29Updated 6 years ago
- keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)☆70Updated 6 years ago
- A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)☆76Updated last year
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 7 years ago
- CNN architecture exploration using Genetic Algorithm☆218Updated 2 years ago