CarsonScott / Competitive-Feature-Learning
Online feature-extraction and classification algorithm that learns representations of input patterns.
☆31Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Competitive-Feature-Learning
- Predicting sales with Pandas☆15Updated 9 years ago
- Unsupervised ML algorithm for predictive modeling and time-series analysis☆38Updated 4 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- Document or binary file vectorization with Normalized Compression Distance in Python.☆16Updated 9 years ago
- ☆11Updated 8 years ago
- Datasets and notebooks☆13Updated 8 years ago
- ☆26Updated 8 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- Kaggle competition results☆20Updated 5 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Log-Bilinear Document Model☆18Updated 13 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 4 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- Large scale matrix factorization on GPU☆19Updated 8 years ago
- ☆10Updated 9 years ago
- Visual Question Answering system's different implementations☆10Updated 7 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree☆31Updated 12 years ago
- Lightweight Image Featurization Made Easy☆31Updated 2 years ago
- GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…☆15Updated 7 years ago
- Amazon access control challenge☆25Updated 10 years ago
- Convenient hyperparameter optimization☆14Updated 6 months ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆27Updated 8 years ago
- Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]☆34Updated 8 years ago
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 7 years ago
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Updated 7 years ago