jessicayung / blog-code-snippetsLinks
Code snippets used in tutorials on my blog.
☆51Updated 7 years ago
Alternatives and similar repositories for blog-code-snippets
Users that are interested in blog-code-snippets are comparing it to the libraries listed below
Sorting:
- RNN and general weights, gradients, & activations visualization in Keras & TensorFlow☆181Updated last year
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Practical Deep Learning resources for Time series analysis and forecasting☆85Updated 4 years ago
- An MDN Layer for Keras using TensorFlow's distributions module☆168Updated last year
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆66Updated 6 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆77Updated 8 years ago
- Worked examples about manifold learning using sklearn and jupyter☆51Updated 6 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Python 3.6+ (only)☆113Updated 6 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆315Updated 6 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆70Updated 4 years ago
- Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.☆48Updated 8 years ago
- A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/☆82Updated 9 years ago
- An LSTM Autoencoder for rare event classification☆106Updated 5 years ago
- A PyTorch ensemble neural network model used for time series analysis.☆60Updated 6 years ago
- Classifying time series using feature extraction☆85Updated 7 years ago
- TensorFlow Probability Tutorial☆37Updated 6 years ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Updated 7 years ago
- Embed strange attractors using a regularizer for autoencoders☆133Updated 4 years ago
- ☆40Updated 8 years ago
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆96Updated last year
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆22Updated 6 years ago
- Time series prediction using dilated causal convolutional neural nets (temporal CNN)☆239Updated 3 years ago
- Continuous-time Hidden Markov Model☆102Updated last year
- A python multi-variate time series prediction library working with sklearn☆100Updated 4 years ago
- legend☆209Updated 2 years ago
- PyTorch implementations of neural networks for timeseries classification☆110Updated 3 years ago
- An implementation of a sequence to sequence neural network using an encoder-decoder☆210Updated 6 years ago
- ☆64Updated 7 years ago