tsoernes / gfsopt
Convenient hyperparameter optimization
☆14Updated 4 months ago
Related projects: ⓘ
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated last year
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- Using GP and metafeatures to grow better forests for prediction.☆10Updated 8 years ago
- ☆24Updated this week
- Yet another regression toolkit☆12Updated 11 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆9Updated 9 years ago
- A Cython interface to FLANN☆25Updated 3 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 6 years ago
- ☆10Updated 9 years ago
- ☆17Updated 6 years ago
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 7 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Fork of cma-es library by Nikolaus Hansen☆11Updated 7 years ago
- Simple, small, fully-connected Python version of NeoRL☆11Updated 8 years ago
- Averaged Stochastic Gradient Descent Classifiers☆41Updated 12 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆31Updated 8 years ago
- Variational Walkback, NIPS'17☆28Updated 6 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
- A very simple variant of adversarial training that yields excellent results on MNIST☆12Updated 8 years ago
- ☆20Updated 7 years ago
- Sample code for generative recurrent autoencoders.☆25Updated 7 years ago
- A CUDA implementation of the Tsetlin Machine based on bitwise operators☆26Updated 5 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 7 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 6 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 6 years ago
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆39Updated 4 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 3 years ago
- Functional ANOVA☆27Updated 9 years ago
- Exponential Machines implementation☆39Updated 7 years ago