mschneiderwng Goto Github PK

18.065_lecture_notes

lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"

1806

18.06 course at MIT

babynames

The baby names project that shows the evolution of the top 10 most popular baby names in the US since 1880

babyspikelivecoding

The code from my Live Coding talk in which I recreate the Baby Spike visual I made for the Scientific American magazine

book

This is the site for the book “AI Search Algorithms for Smart Mobility”: https://smartmobilityalgorithms.github.io/book/index.html

coursera-stanford

Stanford

cs231n.github.io

Public facing notes page

eecs-498-007-598-005-solutions

EECS 498-007 / 598-005 Deep Learning for Computer Vision

fsd-tm

fsk-perceptron

graph-search-algorithms

Graph search methods include blind search methods such as depth-first search (DFS), breadth-first search (BFS) or Dijkstra's algorithm and informed search methods such as hill climbing, beam search, Best-first or A* and contraction hierarchies.

hourly_energy_consumption_prediction

This repo contains files and jupyter notebooks for the project- Predicting energy consumption of the entire region in southern CA served by the SDGE (San Diego Gas and electric) utility based on the past 5 years of hourly energy consumption data.

ila

Interactive Linear Algebra

introduction-to-probability-blitzstein-solutions

Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lena-voita.github.io

mango

The purpose of the Mango library is to provide Guava (Google's core libraries) functionalities to Scala

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mit_ocw_linear_algebra_18_06

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

ml_course

EPFL Machine Learning Course, Fall 2019

notebooks

My IPython notebooks

openvis2016

These are the slides and visualization examples from my talk “SVGs beyond mere shapes”

tufte-latex

A Tufte-inspired LaTeX class for producing handouts, papers, and books