NeuralProphet: A simple forecasting package
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Updated
Jul 6, 2024 - Python
NeuralProphet: A simple forecasting package
Official repository for the paper "Chunked Autoregressive GAN for Conditional Waveform Synthesis"
The official implementation for ICMI 2020 Best Paper Award "Gesticulator: A framework for semantically-aware speech-driven gesture generation"
A python multi-variate time series prediction library working with sklearn
Learning Data Science
This is the official implementation of the paper "Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression".
Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.
Transformer-based, character-level language model (GPT-like) to generate Shakespearean-like text given a seed string.
Simple Moving Averages (SMA) and Autoregression (AR) Yule Walker Model for time series data representing temperature change and electrical consumption.
Autoregression on eye-gaze yields intent prediction.
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