haricash's Stars
stravo1/obsidian-gdrive-sync
sync notes across devices in Obsidian via Google Drive
atfortes/Awesome-LLM-Reasoning
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.
williamgilpin/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
williamgilpin/howto
How to do various tricky computer things
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
adityaramesh/tufte-blog
My system for composing blog posts. Example site: http://adityaramesh.com/tufte-blog/posts.html
sigma-py/pacopy
:triangular_ruler: Numerical parameter continuation in Python.
ankushgk/surface-spherical-harmonics
Surface Scalar, Vector, and Tensor Spherical Harmonics (Symmetric and Traceless)
flatironinstitute/sciware
Learning materials for scientific software development
typst/typst
A new markup-based typesetting system that is powerful and easy to learn.
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
haricash/uw-astr598-w18
ASTR 598: Astro-statistics and Machine Learning
jbhuang0604/awesome-tips
LSSTC-DSFP/LSSTC-DSFP-Sessions
Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
dtanoglidis/ML_Edu_Demos
Notebooks for the Deep Learning Eduction Club
dangkhoasdc/awesome-ai-residency
List of AI Residency Programs
gwisk/gradguide
A guide on STEM PhD admissions
mitmath/18S096SciML
18.S096 - Applications of Scientific Machine Learning
UCLAMLRG/reading_group_2019_fall
Schedule for Fall 2019
JuliaPy/PyCall.jl
Package to call Python functions from the Julia language
drgreen/COGS18_22
LSSTDESC/bayesianpipelineseminars
Webpage for Bayesian pipeline seminars
astrodatagroup/code
The website for the astronomical software development crash course
undark-lab/swyft
A system for scientific simulation-based inference at scale.
LaurencePeanuts/StatisticalMethods
Course notes and resources for Stanford University gradutate lecture course PHYS366: Special Topics in Astrophysics: Statistical Methods
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
rmcelreath/stat_rethinking_2022
Statistical Rethinking course winter 2022
EiffL/sfh-inference-hackathon
Repository for SFH inference hackathon at AstroInfo 2021
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.