aadeshnpn / swarm
Simulation framework for Swarms related application
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for swarm
- Python implementation of the SBB genetic programming algorithm for reinforcement learning and classification tasks.☆25Updated 4 years ago
- Prediction of stock market using high-frequency data☆8Updated 6 years ago
- PHASE(Parallel High-performence Agent-based Simulation Environment)☆9Updated 4 years ago
- Git fork of https://code.google.com/p/trading-with-python/☆21Updated 11 years ago
- The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, back…☆26Updated 8 years ago
- Reinforcement learning environment for trading☆15Updated 6 years ago
- tabular q learning for trading☆10Updated 5 years ago
- Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning☆15Updated 5 years ago
- ☆16Updated 8 years ago
- Uses Hierarchical Temporal Memory to predict the price of RLG based on historical data☆11Updated 9 years ago
- ☆19Updated 5 years ago
- A tool for developing reinforcement learning algorithms focused in stock prediction☆18Updated 2 years ago
- Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM☆47Updated 7 years ago
- An intuitive library tracking dates and timeseries in common using numpy arrays. -- https://sidorof.github.io/Thymus-timeseries/☆18Updated 8 months ago
- ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING☆15Updated 6 years ago
- Playing OpenAI games with Neuroevolution☆11Updated 5 years ago
- Dynamic Bayesian Network library☆11Updated last year
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Gathers machine learning and deep learning models for Reinforcement Learning☆9Updated 6 years ago
- Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling☆17Updated 5 years ago
- OpenAI's cartpole env solver.☆18Updated 6 years ago
- A Python library implementing Bayesian methods for solving estimation and forecasting problems in time series analysis☆20Updated 7 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆70Updated 3 years ago
- Pricing derivatives using the explicit finite-difference method☆13Updated 8 years ago
- Implementation, configuration files, and parsing scripts for the Analysis of Cartesian Genetic Programming’s Evolutionary Mechanisms publ…☆19Updated 9 years ago
- A library for stock market analysis and automated trading, powered by sklearn.☆41Updated 8 years ago
- Recurrent Reinforcement Learning Algorithm Matlab Implementation☆47Updated 3 years ago
- Simple implementation of text-based Gridworld game. Intended for use with reinforcement learning algorithms.☆15Updated 6 years ago
- Deep Reinforcement Learning with Fined Grained Action Repetition☆23Updated 6 years ago