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concavehull
concavehull software4 repositories
conda
conda utils2 repositories
data
2 repositories
data workflow
2 repositories
e3sm
18 repositories
gee
Google Earth Engine18 repositories
ggplot
grammar of graphics25 repositories
hpc
21 repositories
insar
1 repository
llm
42 repositories
matplotlib
matplotlib5 repositories
mkdocs
mkdocs tooling5 repositories
ml experiment trackers
6 repositories
ml fortran
machine learning on/in Fortran codebases10 repositories
nvim
21 repositories
pub code
Code from publications11 repositories
pycleanup
Cleaning up your Python codebase12 repositories
pyparallel
2 repositories
pytorch
45 repositories
qmc
quantum monte carlo4 repositories
tui
3 repositories
vim
https://gist.github.com/jsta/756b32152d154c9ef70fc9e43977bb6111 repositories
vscode tooling
5 repositories
web mapping
9 repositories
workflow managers
12 repositories
xarray
7 repositories
Starred repositories
209
stars
written in Jupyter Notebook
Clear filter
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure 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 filte…
This repository contains implementations and illustrative code to accompany DeepMind publications
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This repository contains demos I made with the Transformers library by HuggingFace.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
A course on aligning smol models.
Create delightful software with Jupyter Notebooks
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Solve puzzles. Improve your pytorch.
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
A small package to create visualizations of PyTorch execution graphs
Bayesian optimization in PyTorch
Keras documentation, hosted live at keras.io
Python libraries for Google Colaboratory
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
Unified Training of Universal Time Series Forecasting Transformers
A deep dive into embeddings starting from fundamentals
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Tutorials and content created by Earth Engine users, for Earth Engine users
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
Foundation Models for Time Series
Discussion of general issues related to the project.