Keras
TensorFlow
PyTorch
Scikit-learn
OpenCV
TFlearn
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
ChatGPT for Google
OpenAI
ChatGPT
Awesome ChatGPT Prompts
ChatGPT for Search Engines
Writesonic
God In A Box
Prompt Toolkit
ChatGPT for GoogleNo ChatGPT for Google videos yet. You could help us improve this page by suggesting one.
Based on our record, Keras seems to be a lot more popular than ChatGPT for Google. While we know about 32 links to Keras, we've tracked only 2 mentions of ChatGPT for Google. 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 / 11 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 / about 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 / almost 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
I want to reproduce what The extension https://chatgpt4google.com/ is able do. I need to log into my chatgpt account once, and then all the google queries are taken as prompt and output is shown for them and it doesn't even exhaust the credits. Source: over 1 year ago
For those interested, I think chatgpt4google[1] has a much cleaner implementation and works on a wide range of search engines and browsers. They also have an option to switch the searchengine from ChatGPT to OpenAI GPT3 [1] https://chatgpt4google.com/. - Source: Hacker News / over 1 year ago
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.
OpenAI - GPT-3 access without the wait
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
ChatGPT - ChatGPT is a powerful, open-source language model.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Awesome ChatGPT Prompts - Game Genie for ChatGPT