Alternatives and similar repositories for Outsmart

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

• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 10 years ago
• agentmodels / agentmodels.org
  Modeling agents with probabilistic programs
  ☆67Updated 6 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆67Updated 10 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• 222464 / pyhtfe
  Python bindings to HTFE
  ☆33Updated 10 years ago
• cgarciae / tensorbuilder
  TensorBuilder is a TensorFlow library enables you to easily create complex deep neural networks by leveraging the phi DSL to help define …
  ☆90Updated 8 years ago
• CarsonScott / Prediction-Template-Learning
  Online machine learning algorithm that makes predictions about the environment to improve itself.
  ☆60Updated 8 years ago
• keplr-io / picard
  Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
  ☆52Updated 8 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 9 years ago
• wjyoon / 2048_deepql_torch
  ☆18Updated 9 years ago
• mmourafiq / philo2vec
  An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)
  ☆35Updated 9 years ago
• jn2clark / ReinforcementLearning
  ☆88Updated 8 years ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 10 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 7 years ago
• thoppe / today-AI-learned
  Training a classifier to reddit's TIL to find new things on Wikipedia
  ☆35Updated 9 years ago
• tailwind / bdot
  Fast Dot Products on Pretty Big Data
  ☆15Updated 7 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 10 years ago
• petered / plato
  A library built on top of Theano. TUTORIAL:
  ☆39Updated 7 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆50Updated 2 years ago
• IndicoDataSolutions / Foxhound
  Scikit learn inspired library for gpu-accelerated machine learning
  ☆38Updated 2 years ago
• yhat / beer-bandit
  Flask app to run a bandit algorithm testing different beer recommenders
  ☆25Updated 11 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• rmst / chi
  A high-level framework for advanced deep learning with TensorFlow
  ☆54Updated 7 years ago
• shawntan / theano_toolkit
  Collection of useful, re-used routines.
  ☆45Updated 8 years ago
• CarsonScott / Knowledge-Discovery-Agents
  A Goal-Oriented Approach to Knowledge Discovery in Multi-Agent Systems
  ☆43Updated 8 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 9 years ago
• j2kun / neural-networks
  Python code and data sets used in the post on neural networks.
  ☆83Updated 5 years ago
• aslanides / aixijs
  AIXIjs - General Reinforcement Learning in the Browser
  ☆148Updated 5 years ago