yaringal / kerasLinks
โ12Updated 7 years ago
Alternatives and similar repositories for keras
Users that are interested in keras are comparing it to the libraries listed below
Sorting:
- โ62Updated 8 years ago
- ๐งน Formerly for binary classification with noisy labels. Replaced by cleanlab.โ83Updated 3 years ago
- Recurrent Neural Network with External Memory in Kerasโ37Updated 9 years ago
- Sorting numbers with pointer networksโ55Updated 7 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)โ59Updated 8 years ago
- Deep generative model for sentiment analysisโ34Updated 8 years ago
- โ45Updated 8 years ago
- Recommendation models that use binary rather than floating point operations at prediction time.โ21Updated 8 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning articleโ40Updated 8 years ago
- Mixed History Recurrent Neural Networksโ47Updated 7 years ago
- Slides/code for the Lisbon machine learning school 2017โ28Updated 8 years ago
- Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. โฆโ34Updated 9 years ago
- The information sieve for discrete variables.โ36Updated 8 years ago
- โ29Updated 7 years ago
- Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modelingโ36Updated 7 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencodersโ22Updated 9 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition functionโ16Updated 8 years ago
- Keras implementation of Nested LSTMsโ88Updated 6 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)โ35Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)โ26Updated 10 years ago
- Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"โ42Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paperโ51Updated 6 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogatesโ115Updated 8 years ago
- Experiments in Bayesian Machine Learningโ69Updated 6 years ago
- This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.โ52Updated 6 years ago
- GloVe Word Embedding model's implementation in theanoโ36Updated 8 years ago
- Convolutional Neural Networks with Recurrent Neural Filtersโ53Updated 6 years ago
- Ordered Weighted L1 regularization for classification and regression in Pythonโ52Updated 7 years ago
- Code for Supervised Word Mover's Distance (SWMD)โ92Updated 7 years ago
- High-order Semi-Markov Conditional Random Fieldโ33Updated 6 years ago