Alternatives and similar repositories for mathematics-of-deep-learning:

Users that are interested in mathematics-of-deep-learning are comparing it to the libraries listed below

• alokwhitewolf / Reinforcement-Learning
  Implementation of various Reinforcement Learning Algorithms
  ☆27Updated 7 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆79Updated 7 years ago
• rasbt / mytorch
  Collection of PyTorch-related utility functions
  ☆28Updated 6 years ago
• mnielsen / rmnist
  Some examples trained on very reduced versions of the MNIST training set
  ☆46Updated 7 years ago
• DanielTakeshi / Interview_Practice
  Practice for coding interviews.
  ☆36Updated 5 years ago
• Newmu / gan_tutorial
  Tensorflow example of a conv GAN on MNIST.
  ☆93Updated 6 years ago
• williamFalcon / keras-deep-learning-paper-implementations
  Keras implementation of Deep Learning papers
  ☆95Updated 6 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆99Updated 3 years ago
• fabianp / overview_optalgs
  ☆30Updated 4 years ago
• GKalliatakis / Adventures-in-deep-learning
  A curated list of Deep Learning resources sorted by reputation
  ☆127Updated 6 years ago
• pmiller10 / cambridge-ai
  ☆59Updated 5 months ago
• mitdbg / fastdeepnets
  ☆112Updated last year
• iPRoBe-lab / semi-adversarial-networks
  Implementation of the SAN model for imparting gender privacy to face images
  ☆63Updated 3 years ago
• Nurture-AI / Worth-More-Attention
  Other than papers from big-name labs and universities, most AI research papers get less than 10 readers, even though there might be gems …
  ☆15Updated 6 years ago
• Tgaaly / pytorch-cheatsheet
  Pytorch Cheatsheet
  ☆91Updated 6 years ago
• loliverhennigh / Deep-Learning-Papers
  A list of deep learning papers and notes on them
  ☆11Updated 8 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 5 years ago
• skynettoday / skynet-today
  The repo to host Skynet Today
  ☆21Updated this week
• rdipietro / jupyter-notebooks
  ☆79Updated 6 years ago
• kumarkrishna / awesome-neuroscience
  A curated list of resources for neuroscience
  ☆9Updated 8 years ago
• goodrahstar / draw-neural-network
  Quick tool to draw fully connected neural network architectures
  ☆43Updated 4 years ago
• suryabhupa / paper-notes
  Personal summaries of deep learning and AI papers
  ☆31Updated 4 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• llSourcell / Neural_Arithmetic_Logic_Units
  This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
  ☆92Updated 6 years ago
• Atcold / pytorch-Video-Tutorials
  The versatility of Python enlightened by Torch to seize Deep Learning
  ☆128Updated 7 years ago
• deep-learning-indaba / practicals2017
  Deep Learning Indaba 2017 Practical content
  ☆7Updated 7 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 2 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 5 years ago
• llSourcell / hyperparameter_optimization
  ☆9Updated 7 years ago
• kevindewalt / ai-notebooks
  ☆63Updated 6 years ago