Alternatives and similar repositories for references-articles-computer-science

Users that are interested in references-articles-computer-science are comparing it to the libraries listed below

• Machine-Learning-Tokyo / Math_resources
  ☆345Updated 5 years ago
• hse-aml / hadron-collider-machine-learning
  Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
  ☆96Updated 6 years ago
• ml-tooling / ml-project-template
  ML project template facilitating both research and production phases.
  ☆111Updated 6 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆139Updated 5 years ago
• ChaakuDaaku / learning_quantum_computing
  Pool of Resources arranged in proper order to get started with Quantum Computing
  ☆29Updated 6 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆144Updated 4 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆112Updated 3 years ago
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 3 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• JohnGiorgi / mathematics-for-machine-learning
  A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…
  ☆63Updated 5 years ago
• hhaji / Deep-Learning
  Course: Deep Learning
  ☆194Updated last year
• hadrienj / Preprocessing-for-deep-learning
  This is the notebook associated with the blog post:
  ☆90Updated 5 years ago
• Machine-Learning-Tokyo / Deep_Reinforcement_Learning
  Resources, papers, tutorials
  ☆125Updated 5 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• iArunava / Python-TheNoTheoryGuide
  Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.
  ☆108Updated 2 years ago
• mpstewart1 / Neural-Networks
  ☆27Updated 4 years ago
• Machine-Learning-Tokyo / AI-ML-Newsletter
  AI Digest: Monthly updates on AI and ML topics
  ☆105Updated 4 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆64Updated 3 years ago
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆265Updated 5 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆341Updated 3 years ago
• cosmic-cortex / neural-networks-from-scratch
  An implementation of convolutional networks in NumPy!
  ☆81Updated 4 years ago
• Machine-Learning-Tokyo / practical-ml-implementations
  ML implementations for practical use
  ☆15Updated 5 years ago
• mlcontests / mlcontests.github.io
  A list of public machine learning/data science/AI contests.
  ☆204Updated this week
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆162Updated 5 years ago
• ADGEfficiency / teaching-monolith
  Data science teaching materials
  ☆150Updated 6 months ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• akhilvasvani / Linear-Algebra-Basics
  Linear Algebra Fundamentals for Machine Learning
  ☆44Updated 6 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆574Updated 5 years ago
• khuyentran1401 / machine-learning-articles
  List of interesting articles on different topics of machine learning and deep learning
  ☆167Updated 2 years ago