awesome-public-real-time-datasets
imgbeddings
| awesome-public-real-time-datasets | imgbeddings | |
|---|---|---|
| 8 | 8 | |
| 366 | 122 | |
| 10.4% | - | |
| 5.1 | 0.0 | |
| 9 days ago | about 2 years ago | |
| Python | ||
| Creative Commons Zero v1.0 Universal | MIT License |
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awesome-public-real-time-datasets
- List of publicly available datasets with real-time data
- FLaNK Stack Weekly for 20 Nov 2023
- Bytewax: Stream processing library built using Python and Rust
- Public Real-Time Datasets and Sources
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What are some good publicly available real-time data sources?
Added for now - https://github.com/bytewax/awesome-public-real-time-datasets/commit/94ca4a3d40dc212690c6cdc22c107289b4268661
I am attempting to source via the wisdom of the crowd here. I often find it hard to find good real-time data sources for learning about streaming, prototyping, or building hobby projects. I started researching and then created an "Awesome List" in a GitHub repo - https://github.com/bytewax/awesome-public-real-time-datasets.
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Ask HN: What are some public real-time data sources?
I started an awesome list with real-time data sources here: https://github.com/bytewax/awesome-public-real-time-datasets . Have any datasets or data sources I should add to this list? Comment below or PRs welcome :).
imgbeddings
- FLaNK Stack Weekly for 20 Nov 2023
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Content-Based Image Retrieval
Seconding the recommendation of CLIP embeddings, especially compared to image histograms + requiring OpenCV.
I wrote a naive, minimal dependency Python package to calculate image embeddings (https://github.com/minimaxir/imgbeddings) with some lookup demo notebooks and it works well in a pinch, although it's due for an upgrade.
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How to build a working AI only using synthetic data in just 5 minutes
Normally, this is Hacker News reductiveness, but yes, image classification via CLIP is that easy, especially with Hugging Face's API for it: https://huggingface.co/docs/transformers/model_doc/clip
I created a Python package to generate image embeddings from CLIP's vision model (without requiring a ML framework), and a simple linear classifier on those embeddings does the trick: https://github.com/minimaxir/imgbeddings
- GitHub - minimaxir/imgbeddings: Python package to generate image embeddings with CLIP without PyTorch/TensorFlow
- Show HN: Python package to create image embeddings without PyTorch/TensorFlow
- I've released a Python package which lets you generate vector representations of images clustering/similarity search/classifier building with a twist: neither PyTorch nor TensorFlow is used!
- [P] I've released a Python package which lets you generate vector representations of images with a twist: neither PyTorch nor TensorFlow is used!
- Show HN: Python package to create image embeddings with o PyTorch/TensorFlow
What are some alternatives?
datagen - Generate authentic looking mock data based on a SQL, JSON or Avro schema and produce to Kafka in JSON or Avro format.
ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
TwoPhotosOnA6x4 - Stitches 2 photos for printing on a 6"x4" photo.
RedfinScraper - Scrapes Redfin data.
FLaNK-EveryTransitSystem - Every transit system
superset - Apache Superset is a Data Visualization and Data Exploration Platform
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
mockingbird - Mockingbird is a mock streaming data generator
depthai-python - DepthAI Python Library
dalle2-in-python - Use DALL·E 2 in Python