Alternatives and similar repositories for 2018-tutorials

Users that are interested in 2018-tutorials are comparing it to the libraries listed below

• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 7 years ago
• wimlds / conferences
  List of Machine Learning & Data Science Conferences
  ☆84Updated 5 years ago
• DeltaAnalytics / machine_learning_resources
  Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…
  ☆25Updated 7 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆101Updated last year
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆136Updated 7 years ago
• inf16nyu / home
  ☆77Updated 8 years ago
• udacity / PyTorchCrashCourse
  A few notebooks on deep learning with PyTorch
  ☆45Updated 2 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 6 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆139Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆134Updated 4 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆239Updated last week
• solevillar / Inference_and_Representation
  ☆22Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆102Updated 6 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆491Updated 6 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆116Updated 7 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago
• sharpest-minds / hiring-tips
  Compendium of tips to help you apply to machine learning and data science jobs.
  ☆52Updated 5 years ago
• udacity / aind2-rnn
  Project materials for RNN segment of AIND nanodegree
  ☆51Updated 2 years ago
• deep-learning-indaba / practicals2017
  Deep Learning Indaba 2017 Practical content
  ☆7Updated 7 years ago
• chiphuyen / requests-for-research
  A living collection of deep learning problems
  ☆35Updated 8 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 6 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 7 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 4 years ago
• igabr / Metis_Projects_Chicago_2017
  Metis Data Science Portfolio - Summer 2017
  ☆26Updated 7 years ago
• charlieblue17 / timeseries2018
  Course page for DS-GA 3001.001 Modeling Time Series Data
  ☆43Updated 7 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆47Updated 8 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆76Updated 2 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆166Updated 4 years ago
• TarrySingh / Deep-Learning-Papers-Reading-Roadmap
  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  ☆73Updated last year