Anselme Borgeaud

Data scientist with a PhD in computational seismology and a strong interest in financial markets. Lausanne, Switzerland
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Forecasting of cryptocurrency prices using a convolutional neural network
In this notebook, we use a simplified version of the convolutional neural network architecture WaveNet to perform next-day forecasts of the closing prices of 6 cryptocurrencies.
Probabilistic seismic imaging using a Neighbourhood algorithm
pydsm can compute several seismic models in parallel, which is used in pytomo to run probabilistic waveform inversion with a neighbourhood algorithm (Sambridge, 1999).