Giovanny Espitia – Medium

Giovanny Espitia

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Giovanny Espitia
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Stackademic

Accelerating Materials Discovery with Deep Learning using PyTorch: Band — gap Prediction

We implement a neural network using PyTorch to predict the band — gap of materials.

May 21

Accelerating Materials Discovery with Deep Learning using PyTorch: Band — gap Prediction

May 21

Giovanny Espitia

Approximating Sine Functions with Neural Networks: A Deep Learning Tutorial

We use PyTorch to approximate a sine function.

Jun 4

Approximating Sine Functions with Neural Networks: A Deep Learning Tutorial

Jun 4

Giovanny Espitia
in
Stackademic

Mastering RNNs for Stock Prediction: TensorFlow & Python Tutorial

Recurrent Neural Networks: A Comprehensive Guide to Time-Dependent Data AnalysisIntroduction

Jan 9

Mastering RNNs for Stock Prediction: TensorFlow & Python Tutorial

Jan 9

Giovanny Espitia
in
Stackademic

Implementing Sentiment Analysis on X Data with DistilBERT and Huggingface: A Comprehensive Guide

Mastering Sentiment Analysis with DistilBERT and Huggingface

Jan 3

Implementing Sentiment Analysis on X Data with DistilBERT and Huggingface: A Comprehensive Guide

Jan 3

Giovanny Espitia

Decoding the Boundaries: Unraveling Science vs. Pseudo-Science Through Missed Research Insights

Understanding the Distinction for Clearer Knowledge Advancement

Nov 15, 2023

Decoding the Boundaries: Unraveling Science vs. Pseudo-Science Through Missed Research Insights

Nov 15, 2023

Giovanny Espitia
in
Stackademic

Python Guide: Building a Reservoir Computer from Scratch

Understanding Reservoir Computing: A Linear Approach to RNNs without Backpropagation

Oct 2, 2023

Python Guide: Building a Reservoir Computer from Scratch

Oct 2, 2023

Giovanny Espitia
in
Stackademic

Lorenz-63 System Integration Using 4th Order Runge-Kutta Methods in Python

The Lorenz-63 system is integrated using RK4 in Python.

Sep 27, 2023

Lorenz-63 System Integration Using 4th Order Runge-Kutta Methods in Python

Sep 27, 2023

Giovanny Espitia

Giovanny Espitia

Physics PhD student. Interested in Condensed Matter, Quantum Information Theory, Machine Learning. https://buymeacoffee.com/giovannyespitia

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