Alternatives and similar repositories for Machine-Learning-Notes

Users that are interested in Machine-Learning-Notes are comparing it to the libraries listed below

• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆32Updated 9 years ago
• Vooban / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆144Updated 2 years ago
• oduerr / dl_tutorial
  Tutorials for deep learning
  ☆254Updated 7 years ago
• 0bserver07 / Study-Reinforcement-Learning
  Studying Reinforcement Learning Guide
  ☆151Updated 2 months ago
• OlavHN / bnlstm
  Batch normalized LSTM for tensorflow
  ☆178Updated 9 years ago
• anayebi / keras-extra
  Extra Layers for Keras to connect CNN with RNN
  ☆154Updated 9 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆150Updated 7 years ago
• metaflow-ai / blog
  Technical blog repo of metaflow
  ☆165Updated 8 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• geyang / deep_learning_notes
  a collection of my notes on deep learning
  ☆123Updated 8 years ago
• hindupuravinash / nips2016
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
  ☆223Updated 9 years ago
• hoangcuong2011 / Good-Papers
  I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my not…
  ☆285Updated 6 years ago
• HusainZafar / TransferLearningTutorial
  Applying transfer learning to a custom dataset by retraining Inception's final layer
  ☆94Updated 8 years ago
• fomorians / lstm-odyssey
  Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
  ☆95Updated 8 years ago
• jamesmf / mnistCRNN
  Simple TimeDistributed() wrapper Demo in Keras; sums images of MNIST digits
  ☆60Updated 7 years ago
• shekkizh / neuralnetworks.thought-experiments
  Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
  ☆201Updated 6 years ago
• keon / pytorch-exercises
  Pytorch exercises
  ☆98Updated 8 years ago
• fcrimins / fcrimins.github.io
  ☆93Updated 10 years ago
• dennybritz / tf-rnn
  Practical Examples for RNNs in Tensorflow
  ☆482Updated 9 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 4 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆165Updated 10 years ago
• bfortuner / pytorch-cheatsheet
  Check out improved:
  ☆301Updated 8 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆417Updated 8 years ago
• dengfy / cs231n
  Convolutional Neural Networks for Visual Recognition in Stanford
  ☆69Updated 9 years ago
• vinhkhuc / PyTorch-Mini-Tutorials
  Minimal tutorials for PyTorch
  ☆329Updated 5 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
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• siddharth-agrawal / Convolutional-Neural-Network
  ☆107Updated 7 years ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 12 years ago
• BradNeuberg / hinton-coursera
  Repo for working through Geoffrey Hinton's Neural Network course (https://class.coursera.org/neuralnets-2012-001)
  ☆75Updated 2 years ago