liamcli / hyperband_benchmarks
☆14Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for hyperband_benchmarks
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- ☆33Updated 3 years ago
- gpbo☆25Updated 3 years ago
- ☆16Updated 8 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Python package to sample from determinantal point processes☆18Updated 9 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 7 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- predicting learning curves in python☆42Updated 7 years ago
- RNNprop☆36Updated 7 years ago
- Github repo for my experiments with the orthogonal convolution idea☆22Updated 7 years ago
- Survey of hyperparameter optimization use in NIPS2014☆13Updated 9 years ago
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- ☆29Updated 7 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Keras implementation of the Information Dropout (arXiv:1611.01353) paper☆15Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Tensor Switching Networks☆12Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆57Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- ☆18Updated 8 years ago