Papers with Code
ML5.js
Amazon Machine Learning
Machine Learning Playground
Lobe
arXiv
mlblocks
Spell
Neuton.AI
Open Text Magellan
Infrrd.ai
TensorFlow
BAAR
Equally AI
Veritone Automate Studio
Kira
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Based on our record, Papers with Code seems to be more popular. It has been mentiond 96 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.
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / 15 days ago
For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / 4 months ago
This resource has been invaluable to me: https://paperswithcode.com/ From the past examples you give it sounds like you were into computer vision. There’s been a ton of developments since then, and I think you’d really enjoy the applications of some of those classic convolutional and variational encoder techniques in combination with transformers. A state of the art multimodal non-autoregressive neural net model... - Source: Hacker News / 5 months ago
And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / 5 months ago
Check out paperswithcode, scroll through arxiv, or browse some well-known conferences in the field (NeurIPS, ICML). Source: 5 months ago
ML5.js - Friendly machine learning for the web
Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Infrrd.ai - Cheaper, Lighter, Faster Enterprise AI platform that makes sense of your image, text and behavioral data to automate decision for cost/man power reduction or revenue increase.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
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.
