kristpapadopoulos / seriesnet Star 231 Code Issues Pull requests Time series prediction using dilated causal convolutional neural nets (temporal CNN) machine-learning deep-learning time-series keras cnn series toronto series-prediction convolutional-neural-networks wavenet financial-analysis university-of-toronto series-forecasting dilated-cnn tcnn seriesnet krist-papadopoulos Updated Jun 19, 2022 Python
kristpapadopoulos / categorical-variational-autoencoder Star 6 Code Issues Pull requests Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder tensorflow keras mnist generative-model toronto variational-inference variational-autoencoder gumbel-softmax categorical tensorflow-eager tensorflow-probability krist-papadopoulos categorical-variational-autoencoder Updated Sep 25, 2018 Python
kristpapadopoulos / neural-processes Star 6 Code Issues Pull requests Keras, Tensorflow eager execution implementation of Neural Processes time-series neural-network tensorflow keras regression toronto variational-inference variational-autoencoder tensorflow-probability krist-papadopoulos neural-processes Updated Oct 12, 2018 Python
kristpapadopoulos / nonlinear_dynamics Star 4 Code Issues Pull requests Predicting nonlinear dynamics with machine learning machine-learning time-series toronto phase-diagram mutual-information lorenz-attractor krist-papadopoulos non-linear-dynamics delay-embedding Updated Jul 16, 2019 Jupyter Notebook
kristpapadopoulos / keras-exponential-smoothing Star 2 Code Issues Pull requests Keras, Tensorflow eager execution layers for exponential smoothing machine-learning timeseries tensorflow keras series forecasting toronto keras-layer series-forecasting exponential-smoothing holt-winters krist-papadopoulos Updated Jun 14, 2022 Python