Numerical Optimization using "hill climbing" (aka Gradient Ascent)
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Updated
Mar 5, 2017 - MATLAB
Numerical Optimization using "hill climbing" (aka Gradient Ascent)
Simple example notebooks using PyTorch
Repository for machine learning problems implemented in python
Computational Studies of Adja Magatte Fall Internship
Visualizing and interpreting features of CNN model
Pytorch implementation of convolutional neural network adversarial attack techniques
Open AI Cartpole environment gradient ascent
OpenAI Gym's Cartpole environment REINFORCE algorithm implementation
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
Machine Learning Problems
Gradient ascent and simulated annealing optimization algorithms for multivariate Gaussian space from scratch.
Machine learning projects
Generative deep learning: DeepDream
2nd assignment of the Fundamentals of Data Science exam, taught by Prof. Fabio Galasso at Sapienza University of Rome in A.Y. 2022/23
Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images
A simple heuristic optimizer.
Get CLIP ViT text tokens about an image, visualize attention as a heatmap.
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
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