Train and run a computer vision model with 5-10 lines of code.
Directory
Search results
Published directory entries matching your search.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
Design and Deploy Large Language Model Apps.
Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Feature store for machine learning.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
Drag & drop UI to build your customized LLM flow using LangchainJS.
Library for high performance deep learning inference on NVIDIA GPUs.
Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
Open Bilingual Pre-Trained Model (ICLR 2023).
Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.
Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Creating semantic cache to store responses from LLM queries.
GPU cluster manager for running and managing LLMs.
A curated list of Large Language Model.
LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems.
Platform for deploying your Machine Learning to production.
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.