Showing 6 of 6 projects
An open-source implementation of Hierarchical Temporal Memory (HTM) for anomaly detection and prediction of streaming data.
A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.
A repository implementing Deep Reinforcement Learning and Supervised Learning methods with a simulated financial market environment for quantitative trading.
A practical demo using LSTM neural networks with TensorFlow to predict lottery numbers.
A TensorFlow/Keras LSTM model for hourly weather forecasting, offering univariate, multivariate, and multistep prediction modes.
A Python library providing various neural unit implementations including LNU, QNU, RBF, MLP, and MLP-ELM with gradient descent and Levenberg-Marquardt training.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.