Adalo
Bubble.io
zeroqode
Thunkable
FlutterFlow
Glide
Glide Apps
Retool
PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
CUDA
NumPy
Pandas
Adalo PyTorchBased on our record, PyTorch seems to be a lot more popular than Adalo. While we know about 106 links to PyTorch, we've tracked only 3 mentions of Adalo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Yes, I think no-code solution can work easily for this use case. There are no of solutions you can try and see which one fits best in your use case. https://bubble.io, https://drapcode.com, etc works best for web apps. If you need Mobile Apps, then you can try using https://adalo.com or Thunkable/GlideApps etc. - Source: Hacker News / almost 3 years ago
Thanks, but it look so expensive. For mobile app, I still evaluating thunkable.com and adalo.com. Source: almost 3 years ago
After dropping several hints in recent months, AWS finally launched the beta version of Amazon Honeycode, the company’s spanking new rendition of a no-code product. For the longest time, customers of the no-code market segment have turned to brands like bubble.io and adalo.com for quick and engaging app development projects. But with Beta Honeycode now around, it’s interesting to see what tricks AWS has up its... Source: almost 3 years ago
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / 29 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / 2 months ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 3 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / 2 months ago
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
zeroqode - Build your app up to 10x faster with no-code app templates
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Thunkable - Powerful but easy to use, drag-and-drop mobile app builder.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.