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Deep Scalable Sparse Tensor Network Engine (DSSTNE)

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  Analyzed about 3 hours ago

Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine DSSTNE (pronounced "Destiny") is a library for training and deploying deep neural networks using GPUs. It is build to solve deep learning problems at Amazon's scale. It is built for production deployment of real-world deep learning ... [More] applications, emphasizing speed and scale over experimental flexibility. Multi-GPU Scale: Training and prediction both scale out to use multiple GPUs, spreading out computation and storage in a model-parallel fashion for each layer. Large Layers: Model-parallel scaling enables larger networks than are possible with a single GPU. Sparse Data: DSSTNE is optimized for fast performance on sparse datasets. Custom GPU kernels perform sparse computation on the GPU, without filling in lots of zeroes. [Less]

41K lines of code

6 current contributors

about 4 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in C++
Licenses: apache_2
Tags deep_learning deployment GPU machine_learning multi-gpu neural_networks production scalable sparse

tflearn

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  Analyzed about 10 hours ago

Deep learning library featuring a higher-level API for TensorFlow.

10.5K lines of code

4 current contributors

over 3 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags distributed_computing machine_learning

ToolpathGenerator

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  Analyzed about 9 hours ago

Automating Toolpath Planing and Generation for 3-Axis CNC. You can find the project implementation at http://projectx.co.in . This projects aim to automate the planning task performed by an Machinist by generating instructions and associated G-Code. This is implementation of our ... [More] paper(http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7474860) [Less]

20.2K lines of code

2 current contributors

over 5 years since last commit

0 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in C++
Licenses: mit
Tags artificial-intelligence automation c c++ cnc gcode machine_learning manufacturing python robotics

xdsi-tick

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  Analyzed about 16 hours ago

Module for statistical learning, with a particular emphasis on time-dependent modelling

51.3K lines of code

8 current contributors

about 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in Python
Licenses: No declared licenses
Tags hawkes machine_learning time_series

pycm

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  Analyzed about 5 hours ago

In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one (in unsupervised learning it is ... [More] usually called a matching matrix). Each row of the matrix represents the instances in a predicted class while each column represents the instances in an actual class (or vice versa) pycm(python confusion matrix) is a multi class confusion matrix library in python. [Less]

11.7K lines of code

13 current contributors

11 months since last commit

0 users on Open Hub

Very Low Activity
5.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags ai algorithms artificial_intelligence classification classifiers confusion-matrix data datamining intelligent_data_analysis machine-learning machine_learning mathematics 3 more...

SatelitoVido

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  Analyzed about 7 hours ago

Goes through large amounts of satellite ocean imagery looking for something interesting.

188 lines of code

0 current contributors

over 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags computer_vision computervision machine_learning machinelearning marinescience oceanography

WhaleMatch

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  Analyzed about 3 hours ago

Identifying whales by their blowhole

200 lines of code

2 current contributors

over 3 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: No declared licenses
Tags computer_vision computervision machine_learning machinelearning marinebiology marinescience whale whales

Auctus

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  Analyzed 1 day ago

Dataset search engine, discovering data from a variety of sources, profiling it, and allowing advanced queries on the index such as augmenting an existing dataset.

26.5K lines of code

2 current contributors

over 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in Python
Licenses: BSD-3-Clause
Tags data-augmentation database datamart datasets join machine-learning machine_learning machinelearning

VGG Image Annotator (VIA)

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  Analyzed about 19 hours ago

VGG Image Annotator is a simple and standalone manual annotation software for image, audio and video. VIA runs in a web browser and does not require any installation or setup. The complete VIA software fits in a single self-contained HTML page of size less than 400 Kilobyte that runs as an offline ... [More] application in most modern web browsers. VIA is an open source project based solely on HTML, Javascript and CSS (no dependency on external libraries). VIA is developed at the Visual Geometry Group (VGG) and released under the BSD-2 clause license which allows it to be useful for both academic projects and commercial applications. [Less]

67.6K lines of code

0 current contributors

5 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in JavaScript
Licenses: bsd_2clau...
Tags annotation artificial-intelligence artificial_intelligence artificialintelligence audio html image image-recognition imagerecognition javascript machine-learning machine_learning 4 more...

darts

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  Analyzed about 3 hours ago

darts is a python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to ... [More] backtest models, and combine the predictions of several models and external regressors. Darts supports both univariate and multivariate time series and models. [Less]

69.7K lines of code

0 current contributors

1 day since last commit

0 users on Open Hub

Moderate Activity
5.0
 
0 Reviews
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Mostly written in Python
Licenses: apache_2
Tags analytics deep_learning forecasting machine_learning python pytorch timeseries