Alternatives and similar repositories for lectures-labs

Users that are interested in lectures-labs are comparing it to the libraries listed below

• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,819Updated 5 years ago
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆939Updated 2 years ago
• GauravBh1010tt / DeepLearn
  Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
  ☆1,828Updated 3 years ago
• sotte / pytorch_tutorial
  PyTorch Tutorial (1.7)
  ☆457Updated 5 years ago
• anhquan0412 / basic_model_scratch
  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
  ☆596Updated 6 years ago
• dustinvtran / ml-videos
  A collection of video resources for machine learning
  ☆1,555Updated 5 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆438Updated 4 years ago
• fchollet / keras-resources
  Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
  ☆3,262Updated 2 years ago
• sachinruk / deepschool.io
  Deep Learning tutorials in jupyter notebooks.
  ☆1,812Updated 2 years ago
• Kaixhin / grokking-pytorch
  The Hitchiker's Guide to PyTorch
  ☆1,199Updated 4 years ago
• NirantK / best-of-jupyter
  Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost
  ☆423Updated 7 years ago
• leriomaggio / deep-learning-keras-tensorflow
  Introduction to Deep Neural Networks with Keras and Tensorflow
  ☆2,971Updated 2 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆547Updated 6 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆502Updated 7 years ago
• mdda / deep-learning-workshop
  Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data
  ☆473Updated 6 years ago
• Ahmkel / Keras-Project-Template
  A project template to simplify building and training deep learning models using Keras.
  ☆796Updated 3 years ago
• hindupuravinash / nips2017
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
  ☆887Updated 8 years ago
• pkmital / CADL
  ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ …
  ☆1,483Updated 6 years ago
• machinelearningnanodegree / stanford-cs231
  Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…
  ☆263Updated 9 years ago
• bjpcjp / scikit-and-tensorflow-workbooks
  based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
  ☆316Updated 8 years ago
• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,784Updated 5 years ago
• benhamner / Metrics
  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
  ☆1,656Updated 3 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆280Updated 7 years ago
• reshamas / fastai_deeplearn_part1
  Notes for Fastai Deep Learning Course
  ☆1,127Updated 11 months ago
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,177Updated 3 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.
  ☆1,044Updated 7 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• a913cb82 / CSML_notes
  UCL MSc Computational Statistics and Machine Learning Revision Notes
  ☆291Updated 2 weeks ago
• rouseguy / DeepLearning-NLP
  Introduction to Deep Learning for Natural Language Processing
  ☆606Updated 5 years ago
• chiphuyen / sotawhat
  Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyda…
  ☆1,395Updated 2 years ago