ConvNetJS vs. PyTorch Comparison


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About ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder.	About Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported
Audience Developers, professionals and researchers seeking a solution for training deep learning models	Audience Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported
Company Information ConvNetJS cs.stanford.edu/people/karpathy/convnetjs/	Company Information PyTorch Founded: 2016 pytorch.org
Alternatives Microsoft Cognitive Toolkit Microsoft	Alternatives TensorFlow
Neuralhub	Core ML Apple
TFLearn	Create ML Apple
Zebra by Mipsology Mipsology	DeepSpeed Microsoft
Deci Deci AI View All	AWS Neuron Amazon Web Services View All
Categories Deep Learning Supported Neural Network Supported	Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported Neural Network Supported

Integrations Amazon EC2 G5 Instances Not Supported Amazon EC2 P5 Instances Not Supported Amazon Elastic Inference Not Supported Apolo Not Supported Cirrascale Not Supported Comet Not Supported DeepSpeed Not Supported EasyODM Not Supported Google Cloud Platform Not Supported Humtap Not Supported LiteRT Not Supported MLReef Not Supported Microsoft Azure Not Supported Modelbit Not Supported OpenVINO Not Supported Sharon AI Not Supported TrueFoundry Not Supported Vast.ai Not Supported Vectice Not Supported Show More Integrations View All 1 Integration	Integrations Amazon EC2 G5 Instances Supported Amazon EC2 P5 Instances Supported Amazon Elastic Inference Supported Apolo Supported Cirrascale Supported Comet Supported DeepSpeed Supported EasyODM Supported Google Cloud Platform Supported Humtap Supported LiteRT Supported MLReef Supported Microsoft Azure Supported Modelbit Supported OpenVINO Supported Sharon AI Supported TrueFoundry Supported Vast.ai Supported Vectice Supported Show More Integrations View All 150 Integrations
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