Alternatives and similar repositories for Finite-Gaussian-Mixture-models:

Users that are interested in Finite-Gaussian-Mixture-models are comparing it to the libraries listed below

• llSourcell / Gaussian_Mixture_Models
  This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
  ☆146Updated 6 years ago
• ceshine / tensorflow-crash-course
  For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
  ☆47Updated 6 years ago
• bhimmetoglu / talks-and-lectures
  ☆55Updated 7 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• keunwoochoi / keras_callbacks_example
  Keras callback example
  ☆56Updated 6 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 7 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 5 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆50Updated 6 years ago
• guillaume-chevalier / 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…
  ☆106Updated 6 years ago
• davidflanagan / notMNIST-to-MNIST
  A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets
  ☆76Updated 6 years ago
• williamFalcon / keras-deep-learning-paper-implementations
  Keras implementation of Deep Learning papers
  ☆95Updated 6 years ago
• budhiraja / DeepLearningExperiments
  Blog @ Medium
  ☆41Updated 8 years ago
• kaggledecal / sp17
  ☆13Updated 7 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆54Updated 8 years ago
• vistalab-technion / cs236605-tutorials
  ☆22Updated 5 years ago
• llSourcell / hyperparameter_optimization_strategies
  This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube
  ☆62Updated 7 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 8 years ago
• apsarath / CorrNet
  ☆51Updated 9 years ago
• llSourcell / neural_networks
  This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube
  ☆30Updated 7 years ago
• krishnakalyan3 / MixtureOfExperts
  Master Thesis. Code written in python. (Keras with Tensorflow backend)
  ☆21Updated 4 years ago
• emsansone / GAN
  Tutorial on GANs
  ☆13Updated 4 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 10 years ago
• zjost / bayesian-linear-regression
  A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
  ☆82Updated 8 years ago
• sjchoi86 / choicenet
  Implementation of ChoiceNet
  ☆128Updated 6 years ago
• yunjey / davian-tensorflow
  tensorflow tutorial for beginner to intermediate
  ☆47Updated 7 years ago
• llSourcell / The_evolution_of_gradient_descent
  This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube
  ☆62Updated 5 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆49Updated 2 years ago
• jason71995 / Keras_ODENet
  Implementation of (2018) Neural Ordinary Differential Equations on Keras
  ☆64Updated 5 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆27Updated 7 years ago
• soumith / DeepLearningFrameworks
  Demo of running NNs across different frameworks
  ☆18Updated 7 years ago