mschneiderwng's repositories
18.065_lecture_notes
lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
babyspikelivecoding
The code from my Live Coding talk in which I recreate the Baby Spike visual I made for the Scientific American magazine
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
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.
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