AlphaHub

AlphaHub is designed to help you develop models with mere clicks. No programming, No prior ML knowledge. Make machine learning a DIY experiment and explore.

[AlphaHub @AlphaHub_Dev]

Here is how you can play with the ResNet18 architecture and add small variations to observe changes.

https://t.co/tb3NvalS4C

[mittan @vGSr7l5wO2Kb08a]

Code free AI Integration　drag & drop の no code AI。論文を数分でモデル変換、GUIを使いKaggleトレーニング。誰か使った人いるかな

https://t.co/yJZghMk0Dq
#MachineLearning #DeepLearning #機械学習

[Pranjal Yadav @Pranjal_Yadav]

I invite all the neural architects to try @AlphaHub_Dev. It can bridge the gap between your hunch and actual results without writing any code.

If you think you can design a SOTA block/model, now is your turn to do it for FREE.

#neuralarchitects #PyTorch #ArtificialIntelligence

[Pranjal Yadav @Pranjal_Yadav]

Here is a video tutorial to create a shallow image classification model in under 5 mins using @AlphaHub_Dev.

Do give it a try, the platform is in beta and FREE!!

https://t.co/a28eIKZ22M

#ArtificialIntelligence #PyTorch #DeepLearning #NoCode

https://t.co/CHjpetRLG2

[AlphaHub @AlphaHub_Dev]

We are live now and you can test the beta version of the platform for FREE.

Try it now at https://t.co/Bpz88Biviq

Let us know what is your way of learning?

[AlphaHub @AlphaHub_Dev]

@Google researchers just released a Language Interpretability Tool https://t.co/YRdbvOL58f
It's meant to explain what a model does in real use.

On the flip side, we are aiming to make models interpretable during the training process.
#workinprogress

Try: https://t.co/mv9RCzuuCe

[AlphaHub @AlphaHub_Dev]

New features releasing soon, & support for the latest @PyTorch release.

Aiming to make #AI a LEGO game with DIY steps & learning. And once you are confident, you can start your #MachineLearning
experiments & deploy #models on the go.

For the
#futureofeducation & #research 🚀🚀

[AlphaHub @AlphaHub_Dev]

We are live now and you can test the beta version of the platform for FREE.

Try it now at https://t.co/Bpz88Biviq

Let us know what is your way of learning?

[AlphaHub @AlphaHub_Dev]

@Pranjal_Yadav Special mention for @PyTorch and @GoogleColab! The platform is deeply dependent on and integrated with these great products.

[AlphaHub @AlphaHub_Dev]

@felix12777 We are live now!

Try it at : https://t.co/mv9RCzuuCe

Let us know what you think ✌️

[AlphaHub @AlphaHub_Dev]

It's happening NOW !!!

Keep an 👁 on 15th August...

It's time to 🚀🚀🚀🚀🚀

#launch #beta #AI #DeepLearning #NoCode #PyTorch

[AlphaHub @AlphaHub_Dev]

@agurejon You can add @AlphaHub_Dev :)

[AlphaHub @AlphaHub_Dev]

That's a Resnet18 designed in 12 mins.

✅ Automatic shape inference and hints for incorrect layer params, in real-time
✅ Compiled model with a notebook to test

WIP
🛃 Grouping feature to create blocks
🛃 Custom layers via code
🛃 Tensor visual at layer

#PyTorch #DeepLearning

[PyTorch @PyTorch]

TorchServe v0.1.1 is available with new features and support for HuggingFace BERT, Waveglow, Model Zoo, SnakeViz Profiler, AWS CloudFormation Template, and Automated Integration regression test suite. Read the release notes for details: https://t.co/sUI25CzBoa

[AlphaHub @AlphaHub_Dev]

Here is our Product Hunt page, feel free to review the feature list and demos at https://t.co/FO1ZYoqwUO

[Google AI @GoogleAI]

Presenting PEGASUS, an approach to pre-training, that uses gap-sentence generation to improve the performance of fine-tuning for #NaturalLanguageUnderstanding tasks, like abstractive summarization. Read more and try the code for yourself ↓ https://t.co/bVFCKGXZMI

[Andrew Carr 🤸 @andrew_n_carr]

Really cool work out of @Microsoft called hummingbird! You can convert traditional #ML models to #Tensor #computations to take advantage of #hardware acceleration like GPUs and TPUs.

Here they convert a random forest model to @PyTorch

https://t.co/yT2xUmtLiP

[PyTorch @PyTorch]

Datarock is using PyTorch to automate the analysis of drill core images from mine sites. They have computer vision models that could process these images into a structured format and segment important geological information like the strength of a rock. https://t.co/XcERg7ZcJq

[AlphaHub @AlphaHub_Dev]

Create models by clicking and connecting layers in arbitrary layouts, zero connection constraints because there is no call to nn.sequential!

You can produce the model from a recent research paper before they publish code.

Full support with benchmarks.

#PyTorch #AI #NoCode

[Microsoft Gray Systems Lab @GraySystemsLab]

Curious how you can convert already trained traditional ML models into tensor computations with up to 100x speedup?

Check out our blog post for details: https://t.co/eBYpoYlWck

Source code: https://t.co/VyJvexZe2e

#GSL @AzureData