Alternatives and similar repositories for MLaPP-solutions

Users that are interested in MLaPP-solutions are comparing it to the libraries listed below

• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆118Updated 5 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆126Updated 7 years ago
• zackchase / python-wow
  Python, so easy, wow!
  ☆139Updated 4 years ago
• leelabcnbc / book-notes
  a bunch of notes about machine learning, image statistics, theoretical neuroscience, etc.
  ☆46Updated 7 years ago
• txizzle / drl
  Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
  ☆141Updated 8 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆284Updated 6 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• d2l-ai / notebooks
  ☆69Updated 6 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆151Updated 5 years ago
• Observerspy / CS234
  homework for CS234 2017
  ☆150Updated 7 years ago
• lizhaoliu / tensorflow_snippets
  ☆97Updated 6 years ago
• deeplearning-math / deeplearning-math.github.io
  A Course on Mathematical Theories of Deep Learning
  ☆79Updated 4 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆90Updated 6 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆240Updated 5 years ago
• nowozin / mlss2018-madrid-gan
  MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
  ☆180Updated 5 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 4 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆132Updated 7 years ago
• JasonQSY / ML-Weekly
  My weekly of machine learning. Collection of implemented algorithms.
  ☆34Updated 7 years ago
• csxeba / evolute
  Evolutionary algorithm toolbox
  ☆182Updated 7 years ago
• mlss-2019 / slides
  ☆260Updated 6 years ago
• xiezhq-hermann / cs231n-2017
  My own solutions for Stanford CS231n (2017) assignments
  ☆44Updated 7 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 3 years ago
• qizhixinhit / Dirty-dataImpacts
  Codes&Datasets
  ☆17Updated 4 years ago
• hengluchang / visualizing_momentum
  Visualizing Gradient Descent with Momentum in Python
  ☆25Updated 7 years ago
• floodsung / Lifelong-Learning-Paper-List
  Lifelong/Continual Learning Paper List
  ☆155Updated 7 years ago
• mrahtz / distributed_tensorflow_gentle_introduction
  Jupyter notebook running through basic examples of Distributed TensorFlow
  ☆70Updated 4 years ago
• zakheav / automatic-differentiation-framework
  an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架
  ☆100Updated 5 years ago