Developers and teams looking for a lightweight, fast, and developer-friendly search engine for their web or mobile applications. Typesense is particularly suitable for projects that require real-time search, typo-tolerance, and a straightforward integration process.
Based on our record, PyTorch should be more popular than Typesense. It has been mentiond 133 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.
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 28 days ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 1 month ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
You might want to look at https://typesense.org/ for that. - Source: Hacker News / about 2 months ago
We use https://typesense.org/ for regular search, but it now has support for doing hybrid search, curious if anyone has tried it yet? - Source: Hacker News / 7 months ago
Took me a little poking around to figure out what the underlying search engine was: it's https://typesense.org/ hosted in a Docker container. - Source: Hacker News / 8 months ago
We all make mistakes at times, and we've all made a typo here and there at some point in our lives. Typesense is here to change all that, with a typo-tolerant, in-memory, fuzzy search engine. The latest release has a new mode, better typo tolerance, support for new references and synonyms, new search parameters, and AI search improvements. Check out all the breaking changes and major updates in the Typesense... - Source: dev.to / 9 months ago
Alternatives to both are https://www.meilisearch.com/ https://typesense.org/ and maybe https://github.com/Sygil-Dev/whoosh-reloaded. - Source: Hacker News / 10 months 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.
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Meilisearch - Ultra relevant, instant, and typo-tolerant full-text search API
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.