es-clip-image-search
haystack
es-clip-image-search | haystack | |
---|---|---|
5 | 55 | |
51 | 13,633 | |
- | 2.5% | |
0.0 | 9.9 | |
over 1 year ago | 7 days ago | |
Python | Python | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
es-clip-image-search
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We're using OpenAI Whisper for transcriptions in Resolve for almost a week now and it's amazing
Here's a summarization example via GPT-3 https://beta.openai.com/examples/default-tldr-summary Here's a local image search engine using CLIP https://github.com/rkouye/es-clip-image-search
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[Part 2] How to build your own natural language image search engine
Try it online.
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How to build your own natural language image search engine (Part 1)
Try it.
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Natural language image search with ES and CLIP (demo)
Here is the github repo : https://github.com/rkouye/es-clip-image-search
haystack
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Haystack DB – 10x faster than FAISS with binary embeddings by default
I was confused for a bit but there is no relation to https://haystack.deepset.ai/
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Release Radar • March 2024 Edition
View on GitHub
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First 15 Open Source Advent projects
4. Haystack by Deepset | Github | tutorial
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Generative AI Frameworks and Tools Every Developer Should Know!
Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:
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Best way to programmatically extract data from a set of .pdf files?
But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look.
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Which LLM framework(s) do you use in production and why?
Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!??
- Overview: AI Assembly Architectures
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Llama2 and Haystack on Colab
I recently conducted some experiments with Llama2 and Haystack (https://github.com/deepset-ai/haystack), the NLP/LLM framework.
The notebook can be helpful for those trying to load Llama2 on Colab.
1) Installed Transformers from the main branch (and other libraries)
- Build with LLMs for production with Haystack – has 10k stars on GitHub
- Show HN: Haystack – Production-Ready LLM Framework
What are some alternatives?
jina - ☁️ Build multimodal AI applications with cloud-native stack
langchain - 🦜🔗 Build context-aware reasoning applications
logosearch - LogoSear.ch and IconSear.ch: search through zillions of SVG logos/icons directly linked to their source repos.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
bootcamp - Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
opentelemetry-ext-js - js extensions for the open-telemetry project
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
StoryToolkitAI - An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
zeek2es - A Python application to filter and transfer Zeek logs to Elastic/OpenSearch+Humio. This app can also output pure JSON logs to stdout for further processing!