Creates, rewrites or summarizes written content with language models.
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Creates, rewrites or summarizes written content with language models.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
A platform for deploying and serving machine learning models.
Creates, rewrites or summarizes written content with language models.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
MiMo Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
MiniMax AI helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Mistral Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
Discover open source deep learning code and pretrained models.
ModelFox is a platform for managing and deploying machine learning models.
Creates or edits images with generative models and visual controls.
Creates, rewrites or summarizes written content with language models.
Visualizer for neural network, deep learning and machine learning models.
Semantic search and workflows powered by language models.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
A library that enables training PyTorch models with differential privacy.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
Open source computer vision API based on open source models.
Google TPU optimizations for transformers models.
Enables single machine or distributed training and evaluation of deep learning models.
A Julia framework for probabilistic graphical models.