SafeBet.ai
SportLemon
Kega Fusion
LiveTV
Stream2watch
RetroArch
CricFree
Strava
Keras
TensorFlow
PyTorch
Scikit-learn
OpenCV
TFlearn
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
SafeBet.ai is one of those new companies which went viral in 2023 due to the use of artificial intelligence. Their AI has analyzed over 20.000 games in different sports. Making accurate predictions for what will happen in future games.
This way helping a rapidly growing community of sports bettors to beat the books.
Elevate your bets with AI sports picks instead of making emotional decisions. Let SafeBet.ai look at the data!
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Another AI tool which works as magic! It's very accurate in its sports predictions, amazed by the results!
Easy to use software. Helps me to analyze the games in advance.
Great sports picks software which has helped improve my bets. Been using it for 2 weeks now and will definitely continue.
Based on our record, Keras seems to be more popular. It has been mentiond 32 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 core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 16 days 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 / 2 months 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 / 2 months 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 / about 1 year 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: about 1 year ago
SportLemon - SportLemon is an entertainment type website over the internet that lets the sports lovers watch live sports online.
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.
Kega Fusion - Kega Fusion is an emulator for the Sega Genesis / Megadrive, Master System, Game Gear, 32x...
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
LiveTV - LiveTV is a free web-based portal for getting the live streaming of the ongoing matches and tournaments of several sports and games across the different areas of the world.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.