Handout for the tutorial "Creating publication-quality figures with matplotlib"
☆2,185Nov 20, 2022Updated 3 years ago
Alternatives and similar repositories for matplotlib_for_papers
Users that are interested in matplotlib_for_papers are comparing it to the libraries listed below
Sorting:
- Examples of matplotlib codes and plots☆1,203Oct 1, 2020Updated 5 years ago
- Painlessly create beautiful matplotlib plots.☆1,706Jan 31, 2019Updated 7 years ago
- Matplotlib styles for scientific plotting☆8,665Feb 25, 2026Updated 3 weeks ago
- Matplotlib tutorial for beginner☆3,132May 27, 2024Updated last year
- Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.☆2,568Aug 16, 2024Updated last year
- An open access book on scientific visualization using python and matplotlib☆11,215Jan 4, 2026Updated 2 months ago
- Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.☆3,715May 17, 2023Updated 2 years ago
- A python package for producing publication quality images using matplotlib.☆105Sep 8, 2020Updated 5 years ago
- Efficiently computes derivatives of NumPy code.☆7,464Updated this week
- Latex code for making neural networks diagrams☆24,524Aug 21, 2023Updated 2 years ago
- arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv☆6,743Updated this week
- Matplotlib 3.1 cheat sheet.☆2,911Sep 30, 2020Updated 5 years ago
- A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.☆1,646Apr 22, 2025Updated 10 months ago
- 🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics☆1,148Feb 27, 2025Updated last year
- Statistical data visualization in Python☆13,767Jan 22, 2026Updated last month
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy☆10,244Mar 7, 2026Updated last week
- Deep universal probabilistic programming with Python and PyTorch☆8,991Jul 9, 2025Updated 8 months ago
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,234Aug 14, 2021Updated 4 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,628Mar 25, 2022Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894May 12, 2024Updated last year
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,989Feb 5, 2026Updated last month
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,842Mar 18, 2024Updated 2 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,430Feb 20, 2026Updated last month
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,850Mar 12, 2026Updated last week
- Differentiable convex optimization layers☆2,069Mar 12, 2026Updated last week
- NumPy & SciPy for GPU☆10,847Updated this week
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Oct 12, 2021Updated 4 years ago
- Render probabilistic graphical models using matplotlib☆683Updated this week
- Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,exte…☆18,838Aug 7, 2024Updated last year
- Graph Neural Network Library for PyTorch☆23,565Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,752Mar 11, 2026Updated last week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,108Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,929Mar 20, 2024Updated 2 years ago
- Uniform Manifold Approximation and Projection☆8,119Mar 10, 2026Updated last week
- some example matplotlibrc files, and a script display their effects☆48Nov 5, 2013Updated 12 years ago
- starter from "How to Train a GAN?" at NIPS2016☆11,644Jan 9, 2022Updated 4 years ago
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,358Oct 22, 2025Updated 4 months ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,923Jul 13, 2023Updated 2 years ago
- Declarative visualization library for Python☆10,297Updated this week