caglar / adasecant_wshp_paper
Code for the arxiv paper
☆9Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for adasecant_wshp_paper
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆27Updated 8 years ago
- A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu☆34Updated 9 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆29Updated 8 years ago
- ☆17Updated 10 years ago
- Asynchronous Advantage Actor Critic☆21Updated 8 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- ☆29Updated 6 years ago
- A comparative study of different LSTM structures☆33Updated 8 years ago
- Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…☆18Updated 8 years ago
- ☆31Updated 7 years ago
- Learning RNN Hierarchies☆44Updated 8 years ago
- ☆11Updated 8 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆44Updated 7 years ago
- ☆15Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆31Updated 8 years ago
- ☆17Updated 7 years ago
- ACDC: A Structured Efficient Linear Layer☆42Updated 8 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 12 years ago
- Atari gauntlet for RL agents☆29Updated 7 years ago
- Generative Models with TensorFlow☆32Updated 8 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Updated 8 years ago
- Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.☆12Updated 7 years ago