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deeplearning4j

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  Analyzed about 23 hours ago

Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library; designed to be used in business environments. Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for non-researchers. Vast ... [More] support of scale out: Hadoop, Spark and Akka + AWS et al It includes both a distributed, multi-threaded deep-learning framework and a normal single-threaded deep-learning framework. Iterative reduce net training. First framework adapted for a micro-service architecture. A versatile n-dimensional array class. GPU integration [Less]

1.1M lines of code

17 current contributors

6 months since last commit

5 users on Open Hub

Very Low Activity
4.0
   
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Rainmeter

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  Analyzed about 14 hours ago

Desktop customization tool for Windows.

148K lines of code

5 current contributors

about 1 month since last commit

3 users on Open Hub

Low Activity
0.0
 
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Crest (Sailfish OS)

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  Analyzed 1 day ago

Simple top like application for SailfishOS

491 lines of code

0 current contributors

over 10 years since last commit

2 users on Open Hub

Inactive
5.0
 
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Licenses: No declared licenses

cpulimit

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  Analyzed about 12 hours ago

cpulimit is a per-process cpu usage limiter (expressed in percentage, not in cpu time). This is useful to control batch jobs, when you don't want they eat too much cpu. It is able to adapt itself to the overall system load, dynamically and quickly.

1.1K lines of code

0 current contributors

over 13 years since last commit

1 users on Open Hub

Inactive
0.0
 
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cpuburn-arm

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  Analyzed about 4 hours ago

A collection of cpuburn programs tuned for different ARM hardware. These programs try to stress the processor to generate as much heat as possible and are useful for hardware reliability diagnostics, tuning/testing thermal throttling, etc. Improperly cooled or otherwise flawed hardware may potentially overheat and fail during the test.

528 lines of code

0 current contributors

about 8 years since last commit

1 users on Open Hub

Inactive
0.0
 
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System Monitor Ultimate

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  Analyzed about 14 hours ago

iOS application providing you all information about your device - hardware information, operating system, processor, memory, GPU, network interface, storage and battery, including OpenGL powered visual representation in real time.

15.1K lines of code

0 current contributors

over 8 years since last commit

1 users on Open Hub

Inactive
0.0
 
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heatoff

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  Analyzed about 8 hours ago

The main goals of this project is to get better knowledge of Vala language. Also I hope to bring more sense in development of posix Vala profile. Secondary goal is small project to manage cpu overheating under high load.

597 lines of code

0 current contributors

about 11 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Sheep-Dog

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  Analyzed 1 day ago

Simple command line tool that monitors files and processes and sends notifications or take corrective actions when problems arise. Monitor log files for errors, processes CPU and memory consumption (can kill if exceeding), respawn dead processes.

599 lines of code

0 current contributors

about 12 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Vucako Bench

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  Analyzed 1 day ago

Benchmark suite for 32-bit and 64-bit computers. It consists of several tasks which are designed to measure performance of CPU, FPU, main memory, memory cache, file-system, multi-threading, etc. C++, Java and C# versions are available.

15K lines of code

1 current contributors

2 months since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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MXNet

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Claimed by Apache Software Foundation Analyzed 1 day 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

over 1 year since last commit

1 users on Open Hub

Very Low Activity
0.0
 
I Use This