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Interactive reports to analyze ML models during validation or production monitoring.
A library for efficient similarity search and clustering of dense vectors.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Feature store for machine learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
FeatherCNN is a high performance inference engine for convolutional neural networks.
An enterprise-grade, high performance feature store.
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.
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.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
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.
Create customizable UI components around your models.
A curated list of Large Language Model.
Python materials for the online course on diffusion models by @huggingface.