tsoernes / gfsopt
Convenient hyperparameter optimization
☆14Updated 10 months ago
Alternatives and similar repositories for gfsopt:
Users that are interested in gfsopt are comparing it to the libraries listed below
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Functional ANOVA☆27Updated 10 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 8 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
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 8 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- A CUDA implementation of the Tsetlin Machine based on bitwise operators☆26Updated 5 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 6 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆10Updated 10 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 7 years ago
- ☆8Updated 6 years ago
- Fork of cma-es library by Nikolaus Hansen☆11Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Work in progress. Read at your own risk.☆14Updated 9 years ago
- Visual Question Answering system's different implementations☆10Updated 8 years ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆17Updated last year
- A very simple variant of adversarial training that yields excellent results on MNIST☆12Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- Fast autodiff.☆19Updated 10 years ago
- Averaged Stochastic Gradient Descent Classifiers☆42Updated 12 years ago