Alternatives and similar repositories for num-analysis:

Users that are interested in num-analysis are comparing it to the libraries listed below

• unixpickle / weakai
  AI algorithms implemented in Go
  ☆235Updated 7 years ago
• llSourcell / AI_for_Video_Games_Syllabus
  This is the Sylllabus for Siraj Raval's Reinforcement Learning course "AI for Video Games" on Youtube
  ☆64Updated 7 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆273Updated 6 years ago
• budhiraja / Math-for-MachineLearning
  A repository containing essential math courses for machine learning aspirants!
  ☆53Updated 7 years ago
• NVIDIA-Korea / deep-learning-workshop
  Deep learning workshop materials
  ☆114Updated 7 years ago
• unixpickle / svm-playground
  Play around with SVMs in the browser
  ☆22Updated 8 years ago
• llSourcell / 7_Research_Directions_Deep_Learning
  This is the code for "The Future of Deep Learning Research" by Siraj Raval on Youtube
  ☆93Updated 7 years ago
• unixpickle / whichlang
  Using ML to recognize programming languages
  ☆24Updated 8 years ago
• anishathalye / mathematics-of-deep-learning
  The Mathematics of Deep Learning, SIPB IAP 2018
  ☆74Updated 4 years ago
• aditya-AI / Deep-Learning
  This repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find diff…
  ☆129Updated 7 years ago
• suryabhupa / paper-notes
  Personal summaries of deep learning and AI papers
  ☆31Updated 4 years ago
• unixpickle / heatgrid
  Emulate heat conduction in a solid
  ☆15Updated 8 years ago
• llSourcell / Internet_of_Things_Optimization
  This is the code for "Internet of Things Optimization" By Siraj Raval on Youtube
  ☆30Updated 6 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
• deep-learning-indaba / practicals2017
  Deep Learning Indaba 2017 Practical content
  ☆7Updated 7 years ago
• JasonBenn / deep-learning-implementations
  Implementation of deep learning algorithms and papers. Python, Tensorflow, PyTorch.
  ☆46Updated 7 years ago
• markroxor / fromscratchtoml
  The machine learning library you really understand.
  ☆31Updated last year
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆112Updated 5 years ago
• kumarkrishna / paper-spray
  List of interesting papers to read
  ☆64Updated 7 years ago
• llSourcell / The_evolution_of_gradient_descent
  This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube
  ☆62Updated 5 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆133Updated 4 years ago
• colah / Visualizing-Deep-Learning
  A series of blog posts on visualizing deep learning.
  ☆161Updated 7 years ago
• llSourcell / intro_to_statistics
  This is the code for "Intro to Statistics - Data Lit #2" by Siraj Raval on Youtube
  ☆30Updated 6 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆103Updated 7 years ago
• loliverhennigh / Deep-Learning-Papers
  A list of deep learning papers and notes on them
  ☆11Updated 8 years ago
• AdrienLE / dl_book_notes
  ☆60Updated 6 years ago
• llSourcell / school_of_ai_chapters
  chapters
  ☆30Updated 6 years ago
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆71Updated 4 years ago
• enthought / Numpy-Tutorial-SciPyConf-2016
  Default Repo description from terraform module
  Updated 2 years ago
• ChristosChristofidis / awesome-courses
  List of awesome university courses for learning Computer Science!
  ☆57Updated 10 years ago