University assignments and sandbox projects connected to machine learning study.
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Updated
Jun 10, 2024 - Python
University assignments and sandbox projects connected to machine learning study.
Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.
Implementation from scratch (using numpy arrays) of a framework based on keras interface which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).
This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.
This repository consist of machine learning models which can be use for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.
Heavy-tailed ESD without gradient noise
Linear Algebra_Assignment
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
Gradient Descent Optimizers and Genetic Algorithms using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
practical work completed during the first year of the Master 1 in Artificial Intelligence
Official code for the paper "Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent"
This project will cover some of the basic Artificial Intelligence along the course using Python. Mainly will use Numpy to build everything. I write all the files in Python and it refers back to the school labs at Dalhousie University.
Custom implementation of a neural network from scratch using Python
Introduction to Python and Neural Network with Keras and PyTorch for beginners
Modern C++ port of the Limited-memory BFGS (L-BFGS) optimization algorithm
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
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