ludwig
Deep Learning Framework
A low-code framework for building custom deep learning models and neural networks
Low-code framework for building custom LLMs, neural networks, and other AI models
11k stars
194 watching
1k forks
Language: Python
last commit: 24 days ago
Linked from 5 awesome lists
computer-visiondata-centricdata-sciencedeepdeep-learningdeeplearningfine-tuninglearningllamallama2llmllm-trainingmachine-learningmachinelearningmistralmlnatural-languagenatural-language-processingneural-networkpytorch
Related projects:
Repository | Description | Stars |
---|---|---|
llmware-ai/llmware | A framework for building enterprise LLM-based applications using small, specialized models | 6,651 |
activeloopai/deeplake | A Database for AI that stores and manages various data types used in deep learning applications. | 8,171 |
deepset-ai/haystack | An AI orchestration framework to build customizable LLM applications with advanced retrieval methods. | 17,691 |
langroid/langroid | A Python framework to build LLM-powered applications by setting up agents with optional components and having them collaboratively solve problems through message exchange | 2,654 |
optimalscale/lmflow | A toolkit for finetuning large language models and providing efficient inference capabilities | 8,273 |
confident-ai/deepeval | A framework for evaluating large language models | 3,669 |
prefecthq/marvin | An AI toolkit for building natural language interfaces and generating multimedia content | 5,296 |
ai-hypercomputer/maxtext | A high-performance LLM written in Python/Jax for training and inference on Google Cloud TPUs and GPUs. | 1,529 |
modeltc/lightllm | An LLM inference and serving framework providing a lightweight design, scalability, and high-speed performance for large language models. | 2,609 |
labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 56,215 |
parisneo/lollms-webui | An all-encompassing tool providing a web interface to access and utilize various AI models for tasks such as text generation, image analysis, music generation, and more. | 4,344 |
mlabonne/llm-course | A comprehensive course and resource package on building and deploying Large Language Models (LLMs) | 39,120 |
alirezadir/production-level-deep-learning | A guide to building production-ready deep learning systems for real-world applications | 4,351 |
microsoft/semantic-kernel | An SDK that integrates LLMs with conventional programming languages to create AI-powered applications. | 21,946 |
rasmusbergpalm/deeplearntoolbox | A Matlab toolbox providing implementations of various deep learning models | 3,795 |