Pytorch implementation of convolutional neural network adversarial attack techniques
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Updated
Dec 3, 2018 - Python
Pytorch implementation of convolutional neural network adversarial attack techniques
Repository for machine learning problems implemented in python
Computational Studies of Adja Magatte Fall Internship
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
Visualizing and interpreting features of CNN model
Simple example notebooks using PyTorch
A user-friendly web application built with Streamlit that offers personalized movie recommendations based on user ratings using a baseline predictive model and RBM neural network
A simple heuristic optimizer.
Generative deep learning: DeepDream
Numerical Optimization using "hill climbing" (aka Gradient Ascent)
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
Machine Learning Problems
Interactive exploration of logistic regression, multinomial classification, and transfer learning using Python and Jupyter Notebooks in the context of data science education.
Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images
OpenAI Gym's Cartpole environment REINFORCE algorithm implementation
Gradient ascent and simulated annealing optimization algorithms for multivariate Gaussian space from scratch.
Open AI Cartpole environment gradient ascent
Python project for the Fundamentals of of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is exploring Logistic Regression & Multinomial Regression concepts along with training classifiers using Gradient Descent/Ascent.
CLIP guiding self towards an image, from text prompt
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