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Based on our record, Hugging Face should be more popular than OpenCV. It has been mentiond 295 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.
Hugging Face's Transformers: A comprehensive library with access to many open-source LLMs. https://huggingface.co/. - Source: dev.to / 18 days ago
Hugging Face provides licensing for their NLP models, encouraging businesses to deploy AI-powered solutions seamlessly. Learn more here. Actionable Advice: Evaluate your algorithms and determine if they can be productized for licensing. Ensure contracts are clear about usage rights and application fields. - Source: dev.to / 23 days ago
There are lots of open-source models available on HuggingFace that can be used to create vector embeddings. Transformers.js is a module that lets you use machine learning models in JavaScript, both in the browser and Node.js. It uses the ONNX runtime to achieve this; it works with models that have published ONNX weights, of which there are plenty. Some of those models we can use to create vector embeddings. - Source: dev.to / about 1 month ago
From transformers import pipeline Import torch Pipe = pipeline( "image-text-to-text", model="google/gemma-3-4b-it", device="cpu", torch_dtype=torch.bfloat16 ) Messages = [ { "role": "system", "content": [{"type": "text", "text": "You are a helpful assistant."}] }, { "role": "user", "content": [ {"type":... - Source: dev.to / about 1 month ago
Gradio is an open-source Python library from Hugging Face that allows developers to create UIs for LLMs, agents, and real-time AI voice and video applications. It provides a fast and easy way to test and share AI applications through a web interface. Gradio offers an easy-to-use and low-code platform for building UIs for unlimited AI use cases. - Source: dev.to / about 2 months ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 10 days ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 4 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 7 months ago
First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 8 months ago
LangChain - Framework for building applications with LLMs through composability
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Replika - Your Ai friend
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Civitai - Civitai is the only Model-sharing hub for the AI art generation community.
NumPy - NumPy is the fundamental package for scientific computing with Python
