ml-ferret
by apple
AI summary
Multilingual task-computer
An end-to-end multilingual language model that can perform various tasks like referring and grounding with high granularity
- stars
- 8.5K
- forks
- 501
- watching
- 160
Similar projects
Found by comparing what the projects do, not just their names.
Model evaluator
Evaluates and compares the performance of multimodal large language models on various tasks
Language model developers
Develops and maintains large language models with improved stability and performance
LLM Benchmarks
A platform providing data, models, and evaluation benchmarks for large language models to promote accessibility and democratization of AI technology
Multimodal conversational model
An end-to-end trained model capable of generating natural language responses integrated with object segmentation masks for interactive visual conversations
thudm/glm3.2K
Language Model
A general-purpose language model pre-trained with an autoregressive blank-filling objective and designed for various natural language understanding and generation tasks.
LLM framework
A framework for efficient fine-tuning and deployment of large language models
mlreef/mlreef1.4K
ML platform
A platform for collaboration, data management, and reproducibility in machine learning development
Deep Learning Library
A high-performance deep learning library written in Swift for Apple platforms.
Evaluation framework
An evaluation toolkit for large vision-language models
Authentication framework
Demonstrates Flux and MVVM architecture on iOS with RxSwift for managing user authentication and data fetching from a Qiita API.
Geo ML Framework
A framework for building geospatial machine learning models that fuse multiple datasets to gain insights into agriculture and sustainability
LLM toolkit
An open-source toolkit for pretraining and fine-tuning large language models
App generator
Automates the creation of CRUD iOS apps based on Swift data models using Realm as the persistence layer.
Device ML Trainer
Enables secure, on-device machine learning training and inference for Android devices using PySyft models
Image recognition library
Develops strong fundamental image recognition models with high accuracy and flexibility