suhridgit Goto Github PK

2.097-final-project

Final project on the adaptive finite element method for the class 2.097 (Numerical Methods for PDEs)

6.005

misstong

6.005_fall2016

MIT 6.005. Software Construction. Fall 2016.

6.009

6.009-labs

Classwork from MIT's course 6.009 Fundamentals of Programming

6.031_project

Final Project for Software Development Class (6.031)

6.033

6.033 Spring 2016

6.036

MIT 6.036 Machine Learning Spring 2016

6.170

6.815

Problem Sets for 6.815. MIT Spring 2015, as taught by Fredo Durand.

6.819-project

Project for Computer Vision class

6.824

Labs of MIT 6.824: Distributed Systems.

6.824-golabs-2022

raft practice on mit 6.824 2022 lab

6.824hey_kong

MIT 6.824: Distributed Systems

6005

Solutions to MIT Course Elements of Software Construction

6009

6170-proj1

6.170 Software Studio Project 1: Web Analytics

6170-proj3

6.170 Project 3: Create an application that digitally mimics sticky note functionality. Creating, editing, and deleting sticky notes must be AJAXed so that the bulk of the application stays on one page.

abcmusicplayer

Reads and plays songs in ABC format

amod-rebalancing

babyrobot

A Baby Robot's Guide to Reinforcement Learning

bayesian-methods-for-machine-learning

Bayesian Methods for Machine Learning

computationalphotography

MIT Course 6.865: Digital & Computational Photography Problem Set and Project Code

concurrent-crossword

Crossword Extravaganza game by Andrew Churchill, Gloria Lin, and Liam Conboy for MIT 6.031 Software Construction Spring 2019 final project.

cornellcswiki

The new unofficial Cornell CS Wiki!

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

coursera_2018_data_structures_and_algorithms

Coursera 2018/ data structures and algorithms / 6 course specialization by University of California, San Diego & National Research University Higher School of Economics

coursera_improving_your_statistical_inferences

coursera_reinforcement_learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute