PyTorch Implementation of the CLIP Algorithm

Deep learning, classification on the WISDM dataset

spatio-temporal activity sequence

This project contains an extensible GAN Framework which can be used to generate power grid related data for simulations.

Python package for CITS algorithm: Causal inference from time series data

If you were wordering, I just archived everything about Python Machine Learning from iDtech. Is this legal? idk and who cares. Anyway, I just had access to v3 and v4, but everything else is kinda the same thing.

Analyzing electricity consumption patterns using Recurrent Neural Networks (RNNs) with RNA data integration.

Machine learning, neural networks, statistical modelling and classification.

Neuronal Networks Simulation

A thalamocortical network model using hybrid conductance-based/IAF neurons to investigate measures and mechanisms of consciousness.

Analyze the performance of thousands of students with just one sample. Determine the socioeconomic variables that increase a student's performance and graphically visualize the results

Aquí se presentan la base de datos y los códigos utilizados para el proyecto de estimaciones de inflación subyacente utilizando la metodología Box-Jenkins y Redes Neuronales | Here you can find the database and the codes I use for my inflation estimation project using Box-Jenkins Methodology and Neuronal Networks.

Solutions to selected exercises in Zhi-Hua Zhou's Machine Learing, using C# and Python for certain chapters.

Cute tiny framework. Containers, databases, networking, parallelism and neuronal networks - everething you might need.