A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.
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10x faster, cheaper, and better vector database.
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.
Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world.
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.
Feature Stores for ML provides machine-learning models, research, training resources, or evaluation tools.
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.
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
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.