Keras might be a bit more popular than Augur. We know about 31 links to it since March 2021 and only 22 links to Augur. 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.
People have brought new markets such as virtual lands and more to the limelight. Some of them include Kirin's learn-to-earn project, in which you can answer quizzes and tests to earn crypto assets, Aavegotchi and YOLOrekt's bid to earn. They are distinct, but they both perform the same B2E function. In Aavegotchi, the Aavegotchi B2E auction modifies at least one of the four personality traits of an Aavegotchi:... Source: over 1 year ago
Yes “handicappers” come up with the odds/spread for sports and some off the wall stuff. “Prediction markets” is a big thing in crypto. And yes you can create your own “outcome” for an event that people can bet on. If you wanna check out the most popular prediction market and see all the crazy things people are betting on here’s Augur https://augur.net/. Source: almost 2 years ago
It's not exactly new? There were several general betting market in crypto, but they never got much popularity. https://augur.net/ https://polymarket.com/. - Source: Hacker News / almost 2 years ago
Example of web 3 platforms are Steemit, Diaspora, Augur, Opensea, Everledger among many others while examples of Web 2 platforms are Facebook, Twitter, Binance, Upwork. - Source: dev.to / about 2 years ago
Https://augur.net (bets on real world events). Source: over 2 years ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 10 days ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 19 days ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: 12 months ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
TellApart - TellApart helps companies turn individual customer preferences into sales by predicting which items customers are most interested in
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.
TradeX - TradeX is an exchange to bet on the predicted outcome of an upcoming event, like the number of covid cases, inflation rate, or the next president.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Predicto - Make predictions on the Blockchain
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.