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18330

18.330 Intro to Numerical Analysis

6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

applied-ai-course

competitive-programming

This repository contains C++ codes used for practicing competitive programming

cs231n

Working through CS231n: Convolutional Neural Networks for Visual Recognition

cse370_cookiecutter

This repo contains templates for in-class demonstration of web page connection to MySQL database

cse423-graphics

This repo contains all the lab tasks of Computer Graphics course

dlaicourse

Notebooks for learning deep learning

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

introduction-to-julia-jump-

This contains introductory programs for students to get comfortable with Julia and JuMP

julia-tutorial

A Julia tutorial for people already familiar with technical computing (in applied mathematics)

julia.jl

Curated decibans of Julia programming language.

jumptutorials.jl

Tutorials on using JuMP for mathematical optimization in Julia

lightml.jl

Minimal and clean examples of machine learning algorithms implemented in Julia

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

pandas_exercises

Practice your pandas skills!

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

sir-julia

Various implementations of the classical SIR model in Julia

ta

Technical Analysis Library in Python

tensorflow-101

TensorFlow Tutorials