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A Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

finetuning-scheduler

github.com

PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

FlexGen

github.com

Running large language models on a single GPU for throughput-oriented scenarios. (Archived).

Flowise

github.com

Drag & drop UI to build your customized LLM flow using LangchainJS.

Forward

github.com

Library for high performance deep learning inference on NVIDIA GPUs.

Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.

Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.

Giskard

github.com

Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.

Glide

github.com

Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.

GLM-130B (ChatGLM)

github.com

Open Bilingual Pre-Trained Model (ICLR 2023).

GLM-6B (ChatGLM)

github.com

Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.

GPT-NeoX

github.com

Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

GPTCache

github.com

Creating semantic cache to store responses from LLM queries.

GPUStack

github.com

GPU cluster manager for running and managing LLMs.

Create customizable UI components around your models.

Hannibal046/Awesome-LLM: Awesome-LLM

github.com

A curated list of Large Language Model.

Python materials for the online course on diffusion models by @huggingface.

Hydrosphere

github.com

Platform for deploying your Machine Learning to production.

Hydrosphere Mist

github.com

A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

Hyperparameter-Optimization-of-Machine-Learning-Algorithms

github.com

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Kubernetes-based system for hyperparameter tuning and neural architecture search.