langchain4j-examples
clearml
langchain4j-examples | clearml | |
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3 | 20 | |
388 | 5,295 | |
- | 2.4% | |
8.8 | 7.7 | |
1 day ago | 7 days ago | |
Java | Python | |
Apache License 2.0 | Apache License 2.0 |
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langchain4j-examples
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Search in Documentation with a JavaFX Chat LangChain4j Application
The goal of LangChain4j is to simplify the integration of AI and LLM capabilities into Java applications. The project lives on GitHub, and has a separate repository with demo applications. I first learned about LangChain4j at the Devoxx conference in Antwerp in October last year. Lize Raes gave an impressive presentation with 12 demos. In the last demo, she asked the application to give some answers based on a provided text. And that was exactly what I was looking for to be able to interact with an existing dataset.
- FLaNK Stack Weekly 12 February 2024
- FLaNK Stack Weekly 23 Oct 2023
clearml
- FLaNK Stack Weekly 12 February 2024
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clearml VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
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cascade alternatives - clearml and MLflow
3 projects | 1 Nov 2023
- Is there any workflow orchestrator that is Hydra friendly ?
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Show HN: Open-source infra for data scientists
It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products?
It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean?
https://github.com/allegroai/clearml
https://codeocean.com/
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[D] Drop your best open source Deep learning related Project
Hi there. ClearML is our open-source solution which is part of the PyTorch ecosystem. We would really appreciate it if you read our README and starred us if you like what you see!
- Start with powerful experiment management and scale into full MLOps with only 2 lines of code.
- Everything you need to log, share, and version experiments, orchestrate pipelines, and scale within one open-source MLOps solution.
- Start with powerful experiment management and scale into full MLOps with only 2 lines of code
What are some alternatives?
stable-audio-tools - Generative models for conditional audio generation
MLflow - Open source platform for the machine learning lifecycle
lang2sql - A tutorial for setting an SQL code generator with the OpenAI API
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!
llm-awq - [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
CoC2023 - Community over Code, Apache NiFi, Apache Kafka, Apache Flink, Python, GTFS, Transit, Open Source, Open Data
kedro-great - The easiest way to integrate Kedro and Great Expectations
amazon-bedrock-with-builder-and-command-patterns - A simple, yet powerful implementation in Java that allows developers to write a rather straightforward code to create the API requests for the different foundation models supported by Amazon Bedrock.
streamlit - Streamlit — A faster way to build and share data apps.
kafka-streams-dashboards - showcases Grafana dashboards for Kafka Stream applications leveraging client JMX metrics.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️