bagua VS inference

Compare bagua vs inference and see what are their differences.

inference

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop. (by xorbitsai)
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bagua inference
6 2
865 2,629
0.2% 19.7%
4.8 9.8
9 months ago 3 days ago
Python Python
MIT License 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.

bagua

Posts with mentions or reviews of bagua. We have used some of these posts to build our list of alternatives and similar projects.

inference

Posts with mentions or reviews of inference. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.
  • GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
    4 projects | dev.to | 24 Jan 2024
    Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and WebUI. Furthermore, it integrates third-party developer tools like LangChain, LlamaIndex, and Dify, facilitating model integration and development.
  • 🤖 AI Podcast - Voice Conversations🎙 with Local LLMs on M2 Max
    1 project | /r/LocalLLaMA | 12 Jul 2023
    Code: https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast.py

What are some alternatives?

When comparing bagua and inference you can also consider the following projects:

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

truss - The simplest way to serve AI/ML models in production

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

agentchain - Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks

optuna - A hyperparameter optimization framework

ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.

h2o-wizardlm - Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

mpt-30B-inference - Run inference on MPT-30B using CPU

modin - Modin: Scale your Pandas workflows by changing a single line of code

aihandler - A simple engine to help run diffusers and transformers models