SaaSHub helps you find the best software and product alternatives Learn more →
Top 17 Blackjack Open-Source Projects
-
rlcard
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
-
blackjack-simulator
🃏 Realistic blackjack simulator (practice card counting using Hi-Lo and calculate EV for any table conditions)
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
blackjack-basic-strategy
A computer vision powered Blackjack basic strategy app powered by Roboflow.
-
MGPs-BJ-CA
MGPs Blackjack Combinatorial Analysis. Exact calculations including splits and insurance.
-
Blackjack-21
This is a game where you play against the dealer and try to get the higher values of cards without exceeding the number 21.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
BlackJackPractice
BlackJackPractice is an iOS app designed to help users master blackjack by practicing splits, soft totals, and hard totals. This app demonstrates the power of using advanced AI tools like GPT-4 to create an iOS app with minimal coding knowledge. By following GPT-4 instructions, users can create a fully functional app with ease.
-
blackjack-discard-tray-photos
Sequential photos of cards piled in a discard tray (useful for deck estimation practice)
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: [P] Looking for RL or rules-based No-Limit Hold 'Em Work | /r/MachineLearning | 2023-06-03
Project mention: Show HN: Pip install inference, open source computer vision deployment | news.ycombinator.com | 2023-08-23It’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
Also, this you too? https://github.com/GoobersInc/gooberproxy-plus/commit/3ef0f06145de2f694bd5f893412dbf8835c16d51
Blackjack related posts
- TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
- Please suggest resources to learn how to work with pre-trained CV models
- Suggestion for identification problem with shipping labels?
- When annotating an image, if a collection of an entity changes the nature of the entity, do you label them collectively or separately?
- Need help on finding an area where machine learning is applicable on day-to-day life but not implemented already
- SAAS for object detection?
- How do i use a pre trained model on a dataset?
-
A note from our sponsor - SaaSHub
www.saashub.com | 23 Apr 2024
Index
What are some of the best open-source Blackjack projects? This list will help you:
Project | Stars | |
---|---|---|
1 | rlcard | 2,689 |
2 | blackjack-simulator | 46 |
3 | blackjack-basic-strategy | 26 |
4 | 21-online | 22 |
5 | MGPs-BJ-CA | 15 |
6 | Blackjack-21 | 8 |
7 | blackjack-cr | 8 |
8 | blackjack | 6 |
9 | gooberproxy-plus | 6 |
10 | BlackJackPractice | 5 |
11 | TypeScript-Blackjack | 4 |
12 | blackjack | 3 |
13 | blackjack-discard-tray-photos | 2 |
14 | cli-game-scripts | 2 |
15 | Blackjack | 1 |
16 | freebj | 1 |
17 | bootjack | 0 |
Sponsored