Pinned Repositories
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
mschneiderwng's Repositories
mschneiderwng/18.065_lecture_notes
lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
mschneiderwng/1806
18.06 course at MIT
mschneiderwng/babynames
The baby names project that shows the evolution of the top 10 most popular baby names in the US since 1880
mschneiderwng/babyspikelivecoding
The code from my Live Coding talk in which I recreate the Baby Spike visual I made for the Scientific American magazine
mschneiderwng/book
This is the site for the book “AI Search Algorithms for Smart Mobility”: https://smartmobilityalgorithms.github.io/book/index.html
mschneiderwng/coursera-stanford
Stanford
mschneiderwng/cs231n.github.io
Public facing notes page
mschneiderwng/EECS-498-007-598-005-solutions
EECS 498-007 / 598-005 Deep Learning for Computer Vision
mschneiderwng/fsd-tm
mschneiderwng/fsk-perceptron
mschneiderwng/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.
mschneiderwng/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.
mschneiderwng/ila
Interactive Linear Algebra
mschneiderwng/Introduction-To-Probability-Blitzstein-Solutions
Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.
mschneiderwng/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.
mschneiderwng/lena-voita.github.io
mschneiderwng/mango
The purpose of the Mango library is to provide Guava (Google's core libraries) functionalities to Scala
mschneiderwng/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
mschneiderwng/MIT_OCW_Linear_Algebra_18_06
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
mschneiderwng/ML_course
EPFL Machine Learning Course, Fall 2019
mschneiderwng/notebooks
My IPython notebooks
mschneiderwng/openvis2016
These are the slides and visualization examples from my talk “SVGs beyond mere shapes”
mschneiderwng/tufte-latex
A Tufte-inspired LaTeX class for producing handouts, papers, and books