Roshni Kamath's repositories
18337
18.337 - Parallel Computing and Scientific Machine Learning
18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
awesome-astrodata
Awesome list for astronomy data and resources for self-learning
BayesianOptimization
Bayesian Optimization with several acquisition functions
fastai
The fast.ai deep learning library, lessons, and tutorials
GSoC-2018-Work-Report
Google Summer Of Code 2018 Work Report
MachineLearning
A collection of Python code and machine learning exercises
MES
Implementation of Max-value Entropy Search. (Using only numpy)
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
programmers-introduction-to-mathematics
Code for A Programmer's Introduction to Mathematics
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
Stochastic-Gradient-Descent
The laboratory from CLOUDS Course at EURECOM
StochasticGradientDescent
Simple Notebook to work on SGD, first with a principled introduction, then with serial algorithms, and finally with distributed algorithms using spark