fbickfordsmith

fbickfordsmith's Stars

• advaitgosai/autocite

  simple bibtex generator for any text with \cite{}

  Language:JavaScript312

• yangkky/Machine-learning-for-proteins

  Listing of papers about machine learning for proteins.

  1.5k199

• pavlin-policar/openTSNE

  Extensible, parallel implementations of t-SNE

  Language:Python1.5k161

• normal-computing/posteriors

  Uncertainty quantification with PyTorch

  Language:Python31912

• tabler/tabler-icons

  A set of over 5500 free MIT-licensed high-quality SVG icons for you to use in your web projects.

  Language:JavaScript18.1k908

• streamlit/streamlit

  Streamlit — A faster way to build and share data apps.

  Language:Python35.1k3k

• mljar/mercury

  Convert Jupyter Notebooks to Web Apps

  Language:Python4k254

• voila-dashboards/voila

  Voilà turns Jupyter notebooks into standalone web applications

  Language:Python5.4k504

• killiansheriff/LovelyPlots

  Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

  Language:Python84334

• daft-dev/daft

  Render probabilistic graphical models using matplotlib

  Language:Python675118

• rgerum/pylustrator

  Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

  Language:Python70637

• jwkvam/celluloid

  :movie_camera: Matplotlib animations made easy

  Language:Python1.1k42

• jluttine/tikz-bayesnet

  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

  Language:TeX829147

• MilesCranmer/python_citations

  Bibtex for various Python science and machine learning software

  Language:TeX312

• yuchenlin/rebiber

  A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

  Language:Python2.6k158

• FlamingTempura/bibtex-tidy

  Cleaner and Formatter for BibTeX files

  Language:TeX85366

• texworld/betterbib

  :green_book: Command-line tools for bibliographies.

  81642

• synercys/annotated_latex_equations

  Examples of how to create colorful, annotated equations in Latex using Tikz.

  Language:TeX3.7k217

• djsutherland/arxiv-collector

  A little Python script to collect LaTeX sources for upload to the arXiv.

  Language:Python32924

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.3k328

• dustinvtran/latex-templates

  A collection of LaTeX templates used for research, courses, and miscellanea.

  Language:TeX742151

• modAL-python/modAL

  A modular active learning framework for Python

  Language:Python2.2k324

• decile-team/distil

  DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

  Language:Jupyter Notebook14225

• baal-org/baal

  Bayesian active learning library for research and industrial usecases.

  Language:Python86286

• mmasana/FACIL

  Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

  Language:Python52699

• Continvvm/continuum

  A clean and simple data loading library for Continual Learning

  Language:Python41442

• ContinualAI/continual-learning-baselines

  Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

  Language:Python25537

• ContinualAI/avalanche

  Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

  Language:Python1.8k289

• activatedgeek/torch-sgld

  SGLD and cSGLD as a PyTorch Optimizer

  Language:Jupyter Notebook71

• ludwigwinkler/pytorch_MCMC

  Lightweight MCMC sampling for PyTorch Models aka My Corona Project

  Language:Python432