Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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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.
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.
Python materials for the online course on diffusion models by @huggingface.
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.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
A python package that integrates an LLM copilot inside the keras model development workflow.
FastAPI framework to build production-grade LLM applications.
Serverless LLM apps on Production with Jina AI Cloud (Archived).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.