BASE44
Lovable
bolt.new
replit
Bubble.io
Cursor
Taskade
Softr
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
Based on our record, TensorFlow should be more popular than BASE44. It has been mentiond 8 times since March 2021. 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.
The first category includes tools like Lovable or Base44. These are prompt-driven tools that can generate visually polished interfaces very quickly. They're great for demos that need to look impressive. However, they are usually frontend-focused. Once you need to store data, manage users, or connect real logic, things often become fragile. Backend integrations—commonly via services like Supabase—can break in ways... - Source: dev.to / 7 months ago
I love how AI is shaking up coding, and vibe coding seems to be the new obsession of -almost- every developer. It lets anyone, even non-coders, build apps by describing ideas in plain English. Tools like Base44, Lovable, and Cursor turn your words into working code, no syntax required. - Source: dev.to / about 1 year ago
Landing page is excellent, esp the video; gets straight to the point. https://www.youtube.com/watch?v=vFzQF_Ik_-g https://base44.com/. - Source: Hacker News / about 1 year ago
Base44 For non-coders. All-in-one. Creates dashboard-like apps pretty well. - Source: dev.to / over 1 year ago
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 6 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: over 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
Lovable - The world's first AI Fullstack Engineer
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
bolt.new - Prompt, run, edit, and deploy full-stack web apps
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.