Alternatives and similar repositories for artificial_neural_networks:

Users that are interested in artificial_neural_networks are comparing it to the libraries listed below

• llSourcell / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆16Updated 5 years ago
• omarsar / nlp_with_tensorflow
  NLP tutorials I have written using TensorFlow
  ☆12Updated 6 years ago
• psinger / py-notebooks
  Notebooks
  ☆32Updated 6 years ago
• llSourcell / the_link
  This is the code for "The Link" By Siraj Raval on Youtube
  ☆23Updated 6 years ago
• SGNovice / Disease-detection-using-chest-xrays
  For the demo. Click on the link.
  ☆76Updated last year
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• OxML2020 / practicals
  ☆32Updated 4 years ago
• beamandrew / BNN
  Bayesian Neural Networks
  ☆43Updated 10 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• deep-learning-indaba / practicals2017
  Deep Learning Indaba 2017 Practical content
  ☆7Updated 7 years ago
• shagunsodhani / talks
  ☆14Updated 4 months ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• omarsar / deep_learning_notations
  Contains useful deep learning notations for writing blogs, presentations, and papers.
  ☆46Updated 5 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated last year
• llSourcell / Vectors_Linear_Algebra
  This is the code for "Vectors - The Math of Intelligence #3" By SIraj Raval on Youtube
  ☆16Updated 7 years ago
• bumic / summaries
  Repo for machine learning research paper summaries
  ☆10Updated 6 years ago
• DmitrySerg / DeepBayes
  Bayesian methods in deep learning Summer School
  ☆19Updated 7 years ago
• jefkine / zeta-learn
  zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
  ☆38Updated 4 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆133Updated 4 years ago
• Imperial-College-Data-Science-Society / Neural-Networks
  ICDSS Machine Learning Workshop Series: Neural Networks
  ☆17Updated 7 years ago
• ml6973 / Course
  ☆22Updated 6 years ago
• bhattbhavesh91 / auto-regressive-time-series-model
  Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python
  ☆15Updated 3 years ago
• llSourcell / naive_bayes_classifier
  This is the code for "Probability Theory - The Math of Intelligence #6" By Siraj Raval on Youtube
  ☆27Updated 7 years ago
• josephmisiti / ML_for_Hackers
  Code accompanying the book "Machine Learning for Hackers"
  ☆74Updated 10 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆49Updated 7 years ago
• pawangeek / Machine-Learning-In-Python
  Machine learning algorithms repository
  ☆9Updated 3 years ago
• abhinavralhan / kohonen-maps
  Implementation of SOM and GSOM
  ☆71Updated 6 years ago
• hjian42 / Natural-Language-Processing-Nanodegree
  Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM…
  ☆20Updated 6 years ago
• TarrySingh / deep-reinforcement-learning
  Repo for the Deep Reinforcement Learning Nanodegree program
  ☆12Updated last year