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TensorFlow

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  Analyzed about 12 hours ago

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy ... [More] computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. [Less]

3.84M lines of code

798 current contributors

about 18 hours since last commit

23 users on Open Hub

Very High Activity
5.0
 
0 Reviews
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Mostly written in C++
Licenses: apache_2
Tags c++ deep_learning deep_neural_networks flow_graphs GPU gpu_computing machine_learning mobile numerical_computing python

pytorch

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  No analysis available

Tensors and Dynamic neural networks in Python with strong GPU acceleration

0 lines of code

894 current contributors

0 since last commit

5 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in language not available
Licenses: BSD-3-Clause
Tags deep_learning deep_neural_networks gpu machine_learning machinelearning optimization python

caffe

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  Analyzed 1 day ago

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

76.3K lines of code

1 current contributors

about 4 years since last commit

3 users on Open Hub

Inactive
3.0
   
0 Reviews
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Mostly written in C++
Licenses: No declared licenses
Tags artificial_neural_networks deep_learning framework machine_learning

delira

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  Analyzed about 14 hours ago

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

13.7K lines of code

12 current contributors

about 4 years since last commit

1 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: bsd_2clau...
Tags cnn deep_learning machinelearning medical_imaging neural_networks python pytorch tensorflow

AuroraFW

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  Analyzed about 17 hours ago

Archive

141K lines of code

0 current contributors

almost 6 years since last commit

1 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in C
Licenses: gpl3, lgpl-v3, mit
Tags 3d ai artificial_intelligence audio c++ cross-platform cryptography darwin deep_learning framework graphics gui 8 more...

april-ann

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  Analyzed about 13 hours ago

April-ANN toolkit (A Pattern Recognizer In Lua with Artificial Neural Networks). This toolkit incorporates ANN algorithms (as dropout, stacked denoising auto-encoders, convolutional neural networks), with other pattern recognition methods as hiddem makov models (HMMs) among others.

165K lines of code

0 current contributors

almost 8 years since last commit

1 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in C++
Licenses: gpl3
Tags artificial_neural_networks decoding deep_learning image_processing machine_learning pattern_recognition

MXNet

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Claimed by Apache Software Foundation Analyzed about 4 hours ago

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavours of symbolic programming and ... [More] imperative programming together to maximize the efficiency and your productivity. In its core, a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer is build on top, which makes symbolic execution fast and memory efficient. The library is portable and lightweight, and is ready scales to multiple GPUs, and multiple machines. [Less]

424K lines of code

208 current contributors

about 1 year since last commit

1 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in C++
Licenses: apache_2
Tags bigdata cloud_computing cluster cpu CUDA deep_learning deep_neural_networks distributed efficiency flow_graphs framework gpu 8 more...

h2o-ml

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  Analyzed about 14 hours ago

Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...) H2O scales statistics, machine learning, and math over Big Data. H2O uses familiar interfaces like R, Python, Scala, the Flow notebook graphical interface, Excel, & JSON so that Big Data enthusiasts ... [More] & experts can explore, munge, model, and score datasets using a range of algorithms including advanced ones like Deep Learning. H2O is extensible so that developers can add data transformations and model algorithms of their choice and access them through all of those clients. Data collection is easy. Decision making is hard. H2O makes it fast and easy to derive insights from your data through faster and better predictive modeling. H2O allows online scoring and modeling in a single platform. [Less]

613K lines of code

46 current contributors

1 day since last commit

1 users on Open Hub

High Activity
0.0
 
0 Reviews
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Mostly written in Java
Licenses: No declared licenses
Tags ai deep_learning deep_neural_networks

MagNet-DL

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  Analyzed about 2 hours ago

Deep Learning Projects that Build Themselves

2.4K lines of code

0 current contributors

over 5 years since last commit

1 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: No declared licenses
Tags artificial_intelligence convolutional_networks deep_learning deep_neural_networks machine_learning

AIJack

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  Analyzed about 9 hours ago

Security and Privacy Risk Simulator for Machine Learning AIJack is an open source tool that helps you identify and protect against security and privacy attacks on machine learning algorithms. It includes defense techniques like Differential Privacy and Homomorphic Encryption, as well as APIs for ... [More] distributed learning methods like Federated Learning and Split Learning. AIJack currently supports over 30 state-of-the-art methods. [Less]

47.4K lines of code

0 current contributors

9 days since last commit

1 users on Open Hub

Low Activity
5.0
 
0 Reviews
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Mostly written in C++
Licenses: apache_2
Tags ai c++ cryptography deep_learning deeplearning gpu homomorphic machine_learning machinelearning privacy python python3 1 more...