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Nha Tran's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bayesianneuralnetwork-tutorial-metarepos icon bayesianneuralnetwork-tutorial-metarepos

A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"

cs228_pgm icon cs228_pgm

🌀 Stanford CS 228 - Probabilistic Graphical Models

fastaibook icon fastaibook

The fastai book, published as Jupyter Notebooks

finance-shashankvemuri icon finance-shashankvemuri

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

gs-quant icon gs-quant

Python toolkit for quantitative finance

hourly_energy_consumption_prediction icon hourly_energy_consumption_prediction

This repo contains files and jupyter notebooks for the project- Predicting energy consumption of the entire region in southern CA served by the SDGE (San Diego Gas and electric) utility based on the past 5 years of hourly energy consumption data.

object-oriented-finite-element-method icon object-oriented-finite-element-method

We used Java to implement Newton Raphson and Arclength methods for Finite Element Analysis on truss structure as part of our final project for Object-Oriented Modeling and Implementation of Structural Analysis Software.

reliability_analysis_of_stiffened_kirchhoff-s_plate icon reliability_analysis_of_stiffened_kirchhoff-s_plate

The reliability analysis is studied for stiffened Kirchhoff's plate bending using the Finite Element Method in MATLAB. We used the Hsieh-Clough-Tocher (HCT) element with 4 nodes and 10 degree of freedom for each triangular element. The applied force and Young’s Modulus were random, and we used the First-Order Reliability Method (FORM). The numerical results and probability of failure were justified and compared with the Finite Element ReliabilityUsing Matlab (FERUM 4.1)

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