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Diffusion-models Public
Implementing denoising diffusion probabilistic models (DDPMs) (Ho et al., 2020; Sohl-Dickstein et al., 2015) and variations.
Python UpdatedJul 14, 2024 -
Implementing Wasserstein GAN (https://arxiv.org/abs/1701.07875) for generating extreme value data of stock prices log returns.
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Implementing the paper "Nonlinear causal discovery with additive noise models" by PO Hoyer
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2023-assignment-pandas Public
Forked from Nicolassaint/2023-assignment-pandasAssignment 2 for the DataCamp course X-DataScience Master -- pandas
Python BSD 2-Clause "Simplified" License UpdatedDec 22, 2023 -
2023-assignment-sklearn Public
Forked from Ibra57/2023-assignment-sklearnAssignment 3 for the DataCamp course X-DataScience Master - scikit-learn API
Python BSD 2-Clause "Simplified" License UpdatedDec 21, 2023 -
2023-assignment-numpy Public
Forked from coelhorp/2023-assignment-numpyAssignment 1 for the DataCamp course X-DataScience Master -- numpy
Python BSD 2-Clause "Simplified" License UpdatedDec 19, 2023 -
rock-paper-scissors Public
Q-learning algorithms for rock, paper, scissors
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nusave-front Public
App for personal finance (demo at producthunt.com/products/nusave#nusave)
JavaScript UpdatedFeb 28, 2023 -
Project-DL-Seq2Seq Public
Forked from dataflowr/Project-DL-Seq2SeqImplementation of papers on Deep Seq2seq learning using Pytorch.
Python MIT License UpdatedFeb 21, 2023 -
VAR-Trading Public
Long & Short strategy using Vector Autoregression (VAR) for trading retail companies stocks in a daily frequency.
UpdatedOct 2, 2022 -
Employed SVM with different kernel choices for predicting peptide cleavage sites.
Python UpdatedOct 2, 2022
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