diegolascasas

diegolascasas's Stars

• google-deepmind/dm_nevis

  NEVIS'22: Benchmarking the next generation of never-ending learners

  Language:Python975

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python29.8k2.7k

• mssun/passforios

  Pass for iOS - an iOS client compatible with Pass command line application.

  Language:Swift1.5k102

• toplap/awesome-livecoding

  All things livecoding

  2.5k174

• stephencwelch/Imaginary-Numbers-Are-Real

  Code To Accompany YouTube Series Imaginary Numbers Are Real

  Language:Jupyter Notebook29139

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python37.9k7.3k

• ajbrock/Neural-Photo-Editor

  A simple interface for editing natural photos with generative neural networks.

  Language:Python2.1k197

• jbrambleDC/simulacrum

  Language:Python855

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python61.9k5.8k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.5k1.8k

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell86.8k5.7k

• polymode/polymode

  Framework for Multiple Major Modes in Emacs (core library)

  Language:Emacs Lisp68366

• caiorss/Emacs-Elisp-Programming

  Tutorial about programming Elisp and Emacs text editor customization.

  Language:CSS66088

• hadley/adv-r

  Advanced R: a book

  Language:TeX2.3k1.7k

• tidyverse/purrr

  A functional programming toolkit for R

  Language:R1.3k271

• ransford/pdflatex-makefile

  Simple Makefile for pdflatex-produced documents

  Language:TeX11238

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.1k7.8k

• google/deepdream

  13.2k3.2k

• fniessen/refcard-org-babel

  Org Babel reference card

  10315

• jwiegley/use-package

  A use-package declaration for simplifying your .emacs

  Language:Emacs Lisp4.4k259

• dnouri/nolearn

  Combines the ease of use of scikit-learn with the power of Theano/Lasagne

  Language:Python948260