as3445 / NuPIC-Stock-PredictionLinks
Uses Hierarchical Temporal Memory to predict the price of RLG based on historical data
☆11Updated 10 years ago
Alternatives and similar repositories for NuPIC-Stock-Prediction
Users that are interested in NuPIC-Stock-Prediction are comparing it to the libraries listed below
Sorting:
- Online feature-extraction and classification algorithm that learns representations of input patterns.☆31Updated 8 years ago
- Deep neural network implemented with gnumpy/cudamat☆16Updated 11 years ago
- TBEEF, a doubly ensemble framework for recommendation and prediction problems.☆20Updated 9 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆15Updated 7 years ago
- an implementation of reinforcement learning problem, stock prices☆10Updated 8 years ago
- Time Series Prediction: A Non Linear Approach with Neural Networks☆34Updated 8 years ago
- LSTM Python library using Cython☆37Updated 10 years ago
- A parallel IRWLS library to solve SVMs and budgeted SVMs☆59Updated 7 years ago
- This demo shows how to learn a neural network on top of decision trees☆32Updated 8 years ago
- Simple, small, fully-connected Python version of NeoRL☆11Updated 9 years ago
- Attempt at using neural networks for the bAbI project (https://research.facebook.com/researchers/1543934539189348)☆8Updated 9 years ago
- Log-Bilinear Document Model☆18Updated 13 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 9 years ago
- DimmWitted Gibbs Sampler in C++ — ⚠️🚧🛑 REPO MOVED TO DEEPDIVE 👉🏿☆17Updated 8 years ago
- A library for stock market analysis and automated trading, powered by sklearn.☆41Updated 9 years ago
- Implementation of Undecimated Fully Convolutional Neural Network for time series modeling☆39Updated 8 years ago
- Sample code for generative recurrent autoencoders.☆25Updated 8 years ago
- Visual Question Answering system's different implementations☆10Updated 8 years ago
- Convenient hyperparameter optimization☆14Updated last year
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Updated 8 years ago
- Capturing Structure Implicitly from Noisy Time-Series having Limited Data☆1Updated 7 years ago
- RC-NFQ: Regularized Convolutional Neural Fitted Q Iteration. A batch algorithm for deep reinforcement learning. Incorporates dropout regu…☆12Updated 4 years ago
- Recurrent Convolutional Memory Network (in progress)☆28Updated 9 years ago
- Theano implementation of the Neural GPU☆15Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Updated 9 years ago
- Chainer implementation of batch-normalizing LSTM☆11Updated 8 years ago
- Automatic differentiation for NumPy☆42Updated 12 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 7 years ago