blackjack-basic-strategy
Alpaca-API
blackjack-basic-strategy | Alpaca-API | |
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23 | 81 | |
26 | 137 | |
- | 0.0% | |
2.0 | 0.0 | |
about 1 year ago | over 3 years ago | |
JavaScript | ||
MIT License | - |
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blackjack-basic-strategy
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Show HN: Pip install inference, open source computer vision deployment
It’s an easy to use inference server for computer vision models.
The end result is a Docker container that serves a standardized API as a microservice that your application uses to get predictions from computer vision models (though there is also a native Python interface).
It’s backed by a bunch of component pieces:
* a server (so you don’t have to reimplement things like image processing & prediction visualization on every project)
* standardized APIs for computer vision tasks (so switching out the model weights and architecture can be done independently of your application code)
* model architecture implementations (which implement the tensor parsing glue between images & predictions) for supervised models that you've fine-tuned to perform custom tasks
* foundation model implementations (like CLIP & SAM) that tend to chain well with fine-tuned models
* reusable utils to make adding support for new models easier
* a model registry (so your code can be independent from your model weights & you don't have to re-build and re-deploy every time you want to iterate on your model weights)
* data management integrations (so you can collect more images of edge cases to improve your dataset & model the more it sees in the wild)
* ecosystem (there are tens of thousands of fine-tuned models shared by users that you can use off the shelf via Roboflow Universe[1])
Additionally, since it's focused specifically on computer vision, it has specific CV-focused features (like direct camera stream input) and makes some different tradeoffs than other more general ML solutions (namely, optimized for small-fast models that run at the edge & need support for running on many different devices like NVIDIA Jetsons and Raspberry Pis in addition to beefy cloud servers).
[1] https://universe.roboflow.com
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Open discussion and useful links people trying to do Object Detection
* Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects.
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TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
For computer vision, there are 100k+ open source classification, object detection, and segmentation datasets available on Roboflow Universe: https://universe.roboflow.com
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Please suggest resources to learn how to work with pre-trained CV models
Solid website and app overall for learning more about computer vision, discovering datasets, and keeping up with advancements in the field: * https://roboflow.com/learn * https://universe.roboflow.com (datasets) | https://blog.roboflow.com/computer-vision-datasets-and-apis/ * https://blog.roboflow.com
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Suggestion for identification problem with shipping labels?
If you're lacking training images, you can also use [Roboflow Universe](https://universe.roboflow.com) to obtain them (over 100 million labeled images available)
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Ask HN: Who is hiring? (November 2022)
Roboflow | Multiple Roles | Full-time (Remote) | https://roboflow.com/careers
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 100k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. And we now host the largest collection[2] of open source computer vision datasets and pre-trained models[3].
We have several openings available, but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. (We especially love hiring past and future founders.)
We're hiring 3 full-stack engineers this quarter and we're also looking for an infrastructure engineer with Elasticsearch experience.
[1]: https://docs.roboflow.com
[2]: https://blog.roboflow.com/computer-vision-datasets-and-apis/
[3]: https://universe.roboflow.com
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When annotating an image, if a collection of an entity changes the nature of the entity, do you label them collectively or separately?
Based on what I do/use when I prepare models: A good framework for creating and improving this dataset faster is to use Roboflow Universe and search “flowers” and “bouquets of flowers” in the search bar (it’s like Google Images for CV Datasets). You can search images by subject, or metadata, and clone them directly into a free public workspace (they house up to 10k images without charge). * https://universe.roboflow.com/ * https://universe.roboflow.com/search?q=flowers * https://universe.roboflow.com/search?q=bouqets
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Need help on finding an area where machine learning is applicable on day-to-day life but not implemented already
Lots of ideas will come to mind if you look and search through open source datasets: https://universe.roboflow.com/
- Ask HN: Any good self-hosted image recognition software?
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SAAS for object detection?
Open source datasets: https://universe.roboflow.com/ Model training: https://docs.roboflow.com/train Model deployment: https://docs.roboflow.com/inference/hosted-api
Alpaca-API
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anyone using Alpaca for long term investing?
Is there anyone using Alpaca for long term and passive investing? I am neither a US nor Europe residence, so it is pretty hard to find a decent broker. I came across alpaca.market https://alpaca.markets/ and noticed that there is zero comission for buying and selling stocks. I know that it has pretty good API especially for developers and day traders, but i am particularly interested in long term passive investing, and not interesting in day trading at all. Is it goog for long term passive investing (buying and holding etfs)?
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ChatGPT is going to revolutionize the stock market
No worries at all! https://alpaca.markets/ is another route for market data. Real time data is cheaper but it is lacking technical analysis. We used to use it and it's pretty good.
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Python developers -- what broker and api do you use?
Alpaca: https://alpaca.markets/
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Python Algotrading with Machine Learning
Access to historical data from Alpaca and Yahoo Finance, or from your own data provider.
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Ask HN: How Safe Is Alpaca?
I have been looking at https://alpaca.markets/ and wanted to use it to test out some of my API based trading.
What guarantees or structures are in place to make sure it doesn't end up like FTX?
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Feetr Data Dump: BBBY TENX UNCY LUNR ARDS
Market data is an easier one to answer. We currently use https://alpaca.markets/ and they're pretty good, but we're also looking at https://polygon.io/ as they're the industry leader (but also 2k per month for what we require).
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Can someone help me make an HTTPS request with an ESP32/How should I do this project?
I'm trying to make an HTTPS request with an ESP32 to this website alpaca.markets. I have the CA cert and I'm using WiFiClientSecure.h. Here's my code, main.cpp is underneath all that.
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Exportable quote database for simulations?
Or you can sign up for a free account at Alpaca and use their historical data API. Then you can get data on many tickers with one function call.
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Stock Trading API Provider
Alpaca https://alpaca.markets
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Best platform for historical intraday API
Check Alpaca Markets
What are some alternatives?
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wallet - The official repository for the Valora mobile cryptocurrency wallet.
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
process-google-dataset - Process Google Dataset is a tool to download and process images for neural networks from a Google Image Search using a Chrome extension and a simple Python code.
OpenBBTerminal - Investment Research for Everyone, Everywhere.
rollup-react-example - An example React application using Rollup with ES modules, dynamic imports, Service Workers, and Flow.
finnhub-python - Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api
edenai-javascript - The best AI engines in one API: vision, text, speech, translation, OCR, machine learning, etc. SDK and examples for JavaScript developers.
binance-official-api-docs - Official Documentation for the Binance APIs and Streams
Speed-Coding-Games-in-JavaScript - Games Repository from Speed Coding channel
trading212-pie-sync - 🍰 Python tool to automate Trading212 pies allocations by syncing to another shared pie or external source