[2020] Deep Learning / Coursera
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Updated
Aug 21, 2020 - Jupyter Notebook
[2020] Deep Learning / Coursera
MomentaMouse enables mouse-users to use touch-style scrolling and flicking gestures to navigate websites.
Technical Analysis Library using Pandas and Numpy
Visualization of Momentum, RMSProp and Adam Optimization Functions.
Solving odes to simulate the Dynamics of a pendulum under several conditions. The code was developed in Scilab while I was monitor of the subject "General Mechanics II" at "Universidade de São Paulo"
Implementations of Gradient Descent Variations as a Proof of Concept.
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
Implemented optimization algorithms, including Momentum, AdaGrad, RMSProp, and Adam, from scratch using only NumPy in Python. Implemented the Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimizer and conducted a comparative analysis of its results with those obtained using Adam.
Implementation of SVD without using package.
2D physics engine from scratch. Pygame is used only for graphics & sounds. All the interactions are implemented as applying certain force to a body. Can be used to model celestial mechanics.
Using deep learning to predict whether students can correctly answer diagnostic questions
Adaptive Momentum Coefficient for Neural Network Optimization
A Productivity App with VanillaJS
Idea to create an AI that can objectively judge the difficulty of surf maps on the Source engine.
Momentum based VR game based around grappling and shooting targets. Various gamemodes included.
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