Tags : Browse Projects

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DMLC Minerva

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  Analyzed about 23 hours ago

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

185K lines of code

0 current contributors

over 8 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Autumn Leaf

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  Analyzed about 8 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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xgboost

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  Analyzed about 9 hours ago

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

145K lines of code

78 current contributors

about 19 hours since last commit

0 users on Open Hub

High Activity
0.0
 
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aerosolve

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  Analyzed about 6 hours ago

A machine learning package built for humans.

32.3K lines of code

1 current contributors

over 5 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Seldon IO

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  Analyzed about 5 hours ago

Enterprise machine learning platform for prediction and recommendation.

65.8K lines of code

0 current contributors

over 5 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Apache SystemML

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Claimed by Apache Software Foundation Analyzed about 22 hours ago

Declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single-node, in-memory computations, to distributed computations on Apache Hadoop and Apache Spark. ML algorithms are expressed in an ... [More] R-like or Python-like syntax that includes linear algebra primitives, statistical functions, and ML-specific constructs. This high-level language significantly increases the productivity of data scientists as it provides (1) full flexibility in expressing custom analytics, and (2) data independence from the underlying input formats and physical data representations. Automatic optimization according to data and cluster characteristics ensures both efficiency and scalability. [Less]

1.92M lines of code

7 current contributors

2 days since last commit

0 users on Open Hub

High Activity
0.0
 
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incubator-singa

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  Analyzed about 4 hours ago

SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including ... [More] convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning. [Less]

87.6K lines of code

28 current contributors

about 1 month since last commit

0 users on Open Hub

Moderate Activity
0.0
 
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IDSIA Brainstorm

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  Analyzed about 23 hours ago

Fast, flexible and fun neural networks. Combining lessons from previous projects with new design elements, and written entirely in Python, Brainstorm has been designed to work on multiple platforms with multiple computing backends.

11.8K lines of code

0 current contributors

about 7 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Chainer: A flexible framework of neural networks for deep learning.

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  Analyzed about 2 hours ago

A flexible framework of neural networks for deep learning.

267K lines of code

2 current contributors

over 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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scikit-neuralnetwork

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  Analyzed about 8 hours ago

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

2.79K lines of code

0 current contributors

almost 8 years since last commit

0 users on Open Hub

Inactive
0.0
 
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