DaniloMarinho's repositories

Nonlinear-causal-discovery-with-additive-noise-models

Implementing the paper "Nonlinear causal discovery with additive noise models" by PO Hoyer

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

rock-paper-scissors

Q-learning algorithms for rock, paper, scissors

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

2023-assignment-numpy

Assignment 1 for the DataCamp course X-DataScience Master -- numpy

Language:PythonLicense:BSD-2-ClauseStargazers:0Issues:0Issues:0

2023-assignment-pandas

Assignment 2 for the DataCamp course X-DataScience Master -- pandas

Language:PythonLicense:BSD-2-ClauseStargazers:0Issues:0Issues:0

Diffusion-models

Implementing denoising diffusion probabilistic models (DDPMs) (Ho et al., 2020; Sohl-Dickstein et al., 2015) and variations.

Language:PythonStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Generative-modelling-for-financial-data

Implementing Wasserstein GAN (https://arxiv.org/abs/1701.07875) for generating extreme value data of stock prices log returns.

Language:PythonStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

nusave-front

App for personal finance (demo at producthunt.com/products/nusave#nusave)

Language:JavaScriptStargazers:0Issues:0Issues:0

Prediction-of-Signal-Peptide-Cleavage-Site-Using-Supervised-Learning

Employed SVM with different kernel choices for predicting peptide cleavage sites.

Language:PythonStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

2023-assignment-sklearn

Assignment 3 for the DataCamp course X-DataScience Master - scikit-learn API

License:BSD-2-ClauseStargazers:0Issues:0Issues:0

Project-DL-Seq2Seq

Implementation of papers on Deep Seq2seq learning using Pytorch.

License:MITStargazers:0Issues:0Issues:0

VAR-Trading

Long & Short strategy using Vector Autoregression (VAR) for trading retail companies stocks in a daily frequency.

Stargazers:0Issues:0Issues:0