stared / interactive-machine-learning-list

Related projects ⓘ

Alternatives and complementary repositories for interactive-machine-learning-list

• guillaume-chevalier / How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
  Growing the code out of your notebooks - the right way.
  ☆526Updated 2 years ago
• NirantK / best-of-jupyter
  Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost
  ☆420Updated 5 years ago
• stared / thinking-in-tensors-writing-in-pytorch
  Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
  ☆329Updated last year
• melling / MathAndScienceNotes
  Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
  ☆507Updated 3 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆316Updated 2 years ago
• instillai / Generative-Adversarial-Networks-Roadmap
  The Roadmap to Learn Generative Adversarial Networks (GANs)
  ☆387Updated 4 years ago
• Pulkit-Khandelwal / Reinforcement-Learning-Notebooks
  A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
  ☆1,051Updated 6 years ago
• Kyubyong / pytorch_exercises
  ☆315Updated 7 years ago
• eriklindernoren / NapkinML
  A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
  ☆557Updated last year
• mathisonian / awesome-visualization-research
  A list of recommended research papers and other readings on data visualization
  ☆930Updated 4 years ago
• sgfin / sgfin.github.io_old
  Sam Finlayson's Academic blog
  ☆95Updated 4 years ago
• Santosh-Gupta / Research2Vec
  Representing research papers as vectors / latent representations.
  ☆198Updated 3 years ago
• deep-learning-indaba / indaba-2018
  Practical Notebooks for the Deep Learning Indaba 2018
  ☆145Updated 6 years ago
• BAILOOL / DoYouEvenLearn
  Essential Guide to keep up with AI/ML/DL/CV
  ☆1,038Updated 2 years ago
• arthchan2003 / AIDL_KB
  A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
  ☆223Updated 6 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆94Updated 6 years ago
• alegonz / baikal
  A graph-based functional API for building complex scikit-learn pipelines.
  ☆592Updated last year
• markriedl / easygen
  ☆166Updated last year
• zaidalyafeai / Notebooks
  Machine learning notebooks in different subjects optimized to run in google collaboratory
  ☆372Updated 4 years ago
• bollu / bollu.github.io
  code + contents of my website, and programming life
  ☆361Updated last week
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆262Updated 5 years ago
• astorfi / CNTK-World
  Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)
  ☆330Updated 4 years ago
• chaserileyroberts / mltest
  Testing framework to simplify writing ML unit tests.
  ☆346Updated 5 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆270Updated 6 years ago
• bloomberg / foml
  Foundations of Machine Learning
  ☆336Updated 7 months ago
• brohrer / academic_advisory
  Collected opinions and advice for academic programs focused on data science skills.
  ☆443Updated 4 years ago
• pkmital / pycadl
  Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
  ☆366Updated last year
• karpathy / find-birds
  Find people you should follow on Twitter based on who the people you follow follow
  ☆316Updated 6 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