kd357's Stars
passlab/omptrace
A tool for tracing and visualizing OpenMP program execution
srush/pytorch-lecture
Introductory lecture on Pytorch
NBoulle/greenlearning
Learning Green's functions of partial differential equations with deep learning.
srush/Autodiff-Puzzles
chizhang529/cme213
Introduction to parallel computing using MPI, openMP, and CUDA
HKBU-HPML/ddl-benchmarks
ddl-benchmarks: Benchmarks for Distributed Deep Learning
yuyuchang/CS246
Stanford CS246 Mining Massive Data Sets
Cauchemare/CS246_2020_Solutions
CS246: Mining Massive Data Sets Solutions
dhdepddl/Mining-Massive-Data-Sets
Stanford CS246 Mining Massive Data Sets course HW
cvxgrp/cvxbook_additional_exercises
Additional exercises and data for EE364a. No solutions; for public consumption.
cvxgrp/cvx_short_course
Materials for a short course on convex optimization.
mitmath/matrixcalc
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
darrenjw/fp-ssc-course
An introduction to functional programming for scalable statistical computing
tengyuma/cs229m_notes
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
pghysels/STRUMPACK
Structured Matrix Package (LBNL)
Forgotten/UCI_MATH105_LA
Files for the Numerical Analysis Laboratory at UC Irvine
CoffeeBeforeArch/cuda_programming
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
klho/FLAM
Fast linear algebra in MATLAB
jbornschein/mpi4py-examples
mpi4py examples
mmoelle1/LibKet
LibKet notebook
mitmath/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
lizliz/TDA-Python-Workshop-JMM21
drdeford/JMM2021NetworkX
Notebooks for introduction to NetworkX session
drdeford/Math_581_05
Materials for Math 581.05 Computational Tools for Social Network Analysis (Fall 2020)
DrSkippy/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
practical-tutorials/project-based-learning
Curated list of project-based tutorials
shervinea/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
hplgit/num-methods-for-PDEs
Lecture material on numerical methods for partial differential equations.
linouk23/NBA-Player-Movements
🏀 Visualization of NBA games from raw SportVU data logs