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PyBrain

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  Analyzed about 14 hours ago

PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Python-Based Reinforcement Learning ... [More] , Artificial Intelligence and Neural Network Library. It's the Swiss army knife for machine learning and neural networking. [Less]

37.1K lines of code

0 current contributors

over 6 years since last commit

6 users on Open Hub

Inactive
5.0
 
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Soar

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  Analyzed about 8 hours ago

Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.

289K lines of code

0 current contributors

over 18 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

reply

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  No analysis available

A Reinforcement Learning library in Python Includes Q-learning, Sarsa and more.

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: bsd

Avenir

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  Analyzed about 1 hour ago

Set of machine learning tools based on Hadoop and Storm

40.8K lines of code

1 current contributors

over 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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Licenses: No declared licenses

Autumn Leaf

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  Analyzed about 19 hours ago

The Hacker's Machine Intelligence Framework engineered by software developers, not scientists. Leaf is portable. Run it on CPUs, GPUs, FPGAs on machines with an OS or on machines without one. Run it with OpenCL or CUDA. Credit goes to Collenchyma and Rust. Leaf is part of the Autumn Machine ... [More] Intelligence Platform, which is working on making AI algorithms 100x more computational efficient. Bringing real-time, offline AI to smartphones and embedded devices. Core for high-performance machine intelligence applications. Leafs' design makes it easy to publish independent modules to make e.g. deep reinforcement learning, visualization and monitoring, network distribution, automated preprocessing or scaleable production deployment easily accessible for everyone. [Less]

7.31K lines of code

0 current contributors

over 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
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CompilerGym

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  Analyzed about 21 hours ago

A reinforcement learning toolkit for compiler optimizations

77.1K lines of code

0 current contributors

about 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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Temporal-Difference-Learning

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  Analyzed about 18 hours ago

Temporal Difference Learning and Basic Reinforcement Learning Demos in Matlab

1.46K lines of code

0 current contributors

over 7 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

deepdive

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  Analyzed about 18 hours ago

DeepDive is a new type of system that enables developers to analyze data on a deeper level than ever before. DeepDive is a trained system: it uses machine learning techniques to leverage on domain-specific knowledge and incorporates user feedback to improve the quality of its analysis.

15.9K lines of code

0 current contributors

over 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
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