CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock
inference
| CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock | inference | |
|---|---|---|
| 2 | 5 | |
| 1 | 1,052 | |
| - | 17.3% | |
| 4.9 | 9.9 | |
| 8 months ago | 6 days ago | |
| Jupyter Notebook | Python | |
| - | GNU General Public License v3.0 or later |
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.
CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock
inference
-
Supervision: Reusable Computer Vision
Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
[3] https://inference.roboflow.com/foundation/about/
[4] https://docs.roboflow.com/deploy/hosted-api
- Serverless development experience for embedded computer vision
- FLaNK Stack Weekly 16 October 2023
- Show HN: Pip install inference, open source computer vision deployment
What are some alternatives?
llm-awq - [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
JsonGenius - Get structured JSON data from any page.
fastkafka - FastKafka is a powerful and easy-to-use Python library for building asynchronous web services that interact with Kafka topics. Built on top of Pydantic, AIOKafka and AsyncAPI, FastKafka simplifies the process of writing producers and consumers for Kafka topics.
fast-data-dev - Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, Landoop Tools, 20+ connectors
deep-chat - Fully customizable AI chatbot component for your website
RealtimeTTS - Converts text to speech in realtime
milvus-lite - A lightweight version of Milvus
Wails - Create beautiful applications using Go
data-in-motion - This is repository for tutorials of Data In Motion starting with Data Distribution
karapace - Karapace - Your Apache Kafka® essentials in one tool