mleap
MLeap: Deploy ML Pipelines to Production (by combust)
BigDL
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc. (by intel-analytics)
| mleap | BigDL | |
|---|---|---|
| 1 | 5 | |
| 1,494 | 5,957 | |
| 0.1% | 15.8% | |
| 5.2 | 9.9 | |
| 6 months ago | 7 days ago | |
| Scala | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
mleap
Posts with mentions or reviews of mleap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-23.
-
Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
Everything is custom and will take a lot of work, but luckily, you don’t have to do all the work here. In THE second article, you will use MLeap, a library that does the heavy lifting in terms of serializing Spark ML Pipeline for real-time inference and also provides an execution engine for Spark so you can deploy pipelines on non-Spark runtimes.
BigDL
Posts with mentions or reviews of BigDL.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-31.
- PyTorch Library for Running LLM on Intel CPU and GPU
-
LLaMA Now Goes Faster on CPUs
Any performance benchmark against intel's 'IPEX-LLM'[0] or others?
[0] - https://github.com/intel-analytics/ipex-llm
- BigDL-LLM: running LLM on your laptop using INT4
- Fast, distributed, secure AI for Big Data
-
Machine learning on JVM
Intel BigDL for Spark which again is for Spark.