gdario

gdario's Stars

• bpc-clone/bpc_updates

  99037

• mlr-org/mlr3

  mlr3: Machine Learning in R - next generation

  Language:R93185

• davidADSP/Generative_Deep_Learning_2nd_Edition

  The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

  Language:Jupyter Notebook1.1k395

• d12frosted/homebrew-emacs-plus

  Emacs Plus formulae for the Homebrew package manager

  Language:Ruby2.3k181

• kaz-yos/tableone

  R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

  Language:R21541

• WardBrian/stan-ts-mode

  Language:Emacs Lisp51

• WardBrian/tree-sitter-stan

  A tree-sitter parser for Stan

  Language:C2

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell6.2k323

• wenjie2wang/touch

  Tools of Utilization and Cost in Healthcare

  Language:R131

• jtextor/dagitty

  Graphical analysis of structural causal models / graphical causal models.

  Language:JavaScript28546

• jrblevin/markdown-mode

  Emacs Markdown Mode

  Language:Emacs Lisp892163

• rougier/notebook-mode

  GNU Emacs notebook mode

  Language:Emacs Lisp60928

• obsidianmd/obsidian-releases

  Community plugins list, theme list, and releases of Obsidian.

  9.3k2.3k

• ageron/handson-ml3

  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.

  Language:Jupyter Notebook7.5k3k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.5k4.8k

• mahmoodlab/HIPT

  Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

  Language:Jupyter Notebook50386

• zgana/fpp3-python-readalong

  Python-centered read-along of Forecasting: Principles and Practice

  Language:Jupyter Notebook460149

• scipy/scipy

  SciPy library main repository

  Language:Python12.9k5.2k

• james-stoup/emacs-org-mode-tutorial

  A primer for users trying to make sense of Org Mode

  Language:Emacs Lisp38012

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook3.8k1.2k

• jwiegley/dot-emacs

  My .emacs.el file and other personal Emacs goodies

  Language:Emacs Lisp67295

• mamba-org/mamba

  The Fast Cross-Platform Package Manager

  Language:C++6.8k348

• rdisipio/qtransformer

  Quantum-enhanced transformer neural network

  Language:Python11225

• VSCodium/vscodium

  binary releases of VS Code without MS branding/telemetry/licensing

  Language:Shell25k1.1k

• airladon/FigureOne

  Draw, animate and interact with shapes, text, plots and equations. Create interactive slideshows and interactive videos.

  Language:JavaScript574

• polymode/poly-R

  Polymodes for the R language

  Language:Emacs Lisp5210

• sachac/.emacs.d

  Emacs configuration

  Language:Emacs Lisp37948

• emacs-evil/evil

  The extensible vi layer for Emacs.

  Language:Emacs Lisp3.4k283

• dynamicslab/databook_python

  IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

  Language:Jupyter Notebook811303

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.9k7.8k