nilinswap / neuro-evolutionLinks
A project on improving Neural Networks performance by using Genetic Algorithms.
☆23Updated 5 years ago
Alternatives and similar repositories for neuro-evolution
Users that are interested in neuro-evolution are comparing it to the libraries listed below
Sorting:
- Feeding images of time series to Conv Nets! (Tensorflow + Keras)☆50Updated 8 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆116Updated 8 years ago
- Keras implementation of Nested LSTMs☆88Updated 7 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆56Updated 7 years ago
- ☆151Updated 8 years ago
- Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend☆48Updated 7 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆29Updated 8 years ago
- Python 3.6+ (only)☆114Updated 6 years ago
- WaveNet model applied to intra-day Bitcoin exchange forcasting☆55Updated 7 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆71Updated 4 years ago
- tabular q learning for trading☆12Updated 7 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆107Updated 7 years ago
- Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".☆50Updated 5 years ago
- Gathers Tensorflow deep learning models.☆52Updated 7 years ago
- [Recurrent Weighted Average](https://arxiv.org/abs/1703.01253) [Jared Ostmeyer et.al, 2017] heavily based on https://gist.github.com/sham…☆10Updated 8 years ago
- Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history☆38Updated 8 years ago
- Using multidimensional LSTM neural networks to create a forecast for Bitcoin price☆343Updated 8 years ago
- Financial time series forecast using dual attention RNN☆27Updated 7 years ago
- ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING☆15Updated 7 years ago
- A library for stock market analysis and automated trading, powered by sklearn.☆43Updated 10 years ago
- Deep Reinforcement Learning with Fined Grained Action Repetition☆22Updated 8 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆33Updated 8 years ago
- ☆50Updated 6 years ago
- A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parame…☆69Updated 7 years ago
- ☆37Updated 9 years ago
- Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture☆26Updated 8 years ago
- Embedding stocks to vectors based on the price history☆64Updated 9 years ago
- an implementation of reinforcement learning problem, stock prices☆10Updated 9 years ago
- Evolutionary Neural Networks backed by TensorFlow and pure Python☆108Updated 9 years ago
- Predicting cryptocurrency price using RNN-LSTM networks☆61Updated 7 years ago