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
• zackchase / python-wow
  Python, so easy, wow!
  ☆140Updated 5 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆126Updated 7 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 6 years ago
• txizzle / drl
  Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
  ☆142Updated 8 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• leelabcnbc / book-notes
  a bunch of notes about machine learning, image statistics, theoretical neuroscience, etc.
  ☆46Updated 7 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆151Updated 5 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆89Updated 6 years ago
• lizhaoliu / tensorflow_snippets
  ☆97Updated 6 years ago
• d2l-ai / notebooks
  ☆69Updated 6 years ago
• soravux / pytorch_tutorial
  Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
  ☆109Updated 6 years ago
• keon / pytorch-exercises
  Pytorch exercises
  ☆98Updated 8 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 4 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆240Updated 5 years ago
• mrahtz / distributed_tensorflow_gentle_introduction
  Jupyter notebook running through basic examples of Distributed TensorFlow
  ☆70Updated 4 years ago
• Observerspy / CS234
  homework for CS234 2017
  ☆150Updated 7 years ago
• JustFollowUs / Theoretical-Machine-Learning
  ☆25Updated 8 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆289Updated 6 years ago
• jhui / deep_learning
  ☆85Updated 3 years ago
• loliverhennigh / WassersteinGAN.tensorflow
  Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
  ☆21Updated 8 years ago
• onlytailei / Value-Iteration-Networks-PyTorch
  PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
  ☆80Updated 8 years ago
• EbTech / CS294
  Assignments for Berkeley CS 294: Deep Reinforcement Learning (Fall 2017)
  ☆42Updated 8 years ago
• dlsys-course / assignment2-2017
  (Spring 2017) Assignment 2: GPU Executor
  ☆63Updated 8 years ago
• upul / Aurora
  Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
  ☆102Updated 7 years ago
• geyang / deep_learning_notes
  a collection of my notes on deep learning
  ☆123Updated 8 years ago
• wassname / viz_torch_optim
  Videos of deep learning optimizers moving on 3D problem-landscapes
  ☆107Updated last year
• hengluchang / visualizing_momentum
  Visualizing Gradient Descent with Momentum in Python
  ☆25Updated 7 years ago
• sjchoi86 / dl_tutorials_3rd
  Deep learning tutorials (third edition)
  ☆96Updated 9 years ago