Beta version of the ML curriculum
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Updated
Dec 31, 2018 - Python
Beta version of the ML curriculum
Small Image Processing Scripts in native C, using libjpeg
A classification model implemented using Deep Neural Networks
Covering all aspects of Laplace Transforms that could be covered in a first semester Differential Equations curriculum.
This program displays an animation of two functions being convolved together with custom user-defined functions supported.
Some models built from scratch with PyTorch during my graduate program at UT Austin
📷 Web application to visualize several different convolutions by using image kernels to apply effects such as sharpening, edge detection, blurring, and more!
Projects done for Tensoflow Developer Professional Certification that DeepLearning.ai offers.
A Pytorch implementation of the paper "Going deeper with convolutions" by Szegedy et. al. 2014
Some models built from scratch with PyTorch during my graduate program at UT Austin
Building a convolutional neural network to classify traffic sign images using Keras
Understanding how CNNs can be implemented on a TPU
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Transfer Learning, Convolutions, and Object Localisation in Keras
Python Library for creating and training CNNs. Implemented from scratch.
Computer Vision State Of The Art Intuition Project in Pytorch; WIP
Signal Analysis projects and a final project involving the generation of echo in sound waves using Matlab
This is a simple deep learning model to detect whether a person is happy or sad.
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