nmayorov / ufcnn
Implementation of Undecimated Fully Convolutional Neural Network for time series modeling
☆39Updated 8 years ago
Alternatives and similar repositories for ufcnn:
Users that are interested in ufcnn are comparing it to the libraries listed below
- Implementation of UFCNN in Keras☆93Updated 8 years ago
- Time Series Prediction: A Non Linear Approach with Neural Networks☆34Updated 8 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 7 years ago
- Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]☆34Updated 8 years ago
- X is a temporary name, but here lies RL☆40Updated 7 years ago
- Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.☆12Updated 7 years ago
- ☆25Updated 8 years ago
- code for pydata madrid presentation☆53Updated 8 years ago
- Atari gauntlet for RL agents☆29Updated 7 years ago
- ☆29Updated 7 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 7 years ago
- Code for the arxiv paper☆9Updated 9 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 8 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆29Updated 9 years ago
- Replication of Uber Neuroevolution paper☆46Updated 6 years ago
- simple python interface to SMAC.☆21Updated 6 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 3 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
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 10 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆41Updated 7 years ago
- Differentiable Neural Computer implementation in Tensorflow☆35Updated 7 years ago
- General purpose framework for deep reinforcement learning☆71Updated 7 years ago
- Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.☆53Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Hyperparameter optimization for neural networks☆47Updated 11 years ago
- Examples of using GridLSTM (and GridRNN in general) in tensorflow☆63Updated 7 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 7 years ago
- ☆58Updated 9 years ago
- Kaggle Seizure Prediction Competition☆21Updated 8 years ago