Showing 281-300 of 321 projects
A lightweight library to convert and run ML/DL models in high-performance inference runtimes like TensorRT, TorchScript, ONNX, and TVM.
ezkl is a Rust-based engine for doing inference on deep learning models and computational graphs in zero-knowledge.
Distribute and run AI workloads on Kubernetes with a Python-based infrastructure toolkit like PyTorch.
Highly performant, modular, and production-ready inference, ingestion, and indexing library built in Rust for AI-powered applications.
An AI inference operator for Kubernetes that makes it easy to serve ML models in production.
A Python library for deep learning-based object pose estimation, with ROS inference capabilities.
An all-in-one tool for AI-powered song cover creation, including YouTube audio download, vocal separation, audio splitting, training, and inference.
A PyTorch-based implementation of the PaddleOCR optical character recognition model, enabling developers to leverage state-of-the-art AI for text detection and recognition.
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere.
A Python library for creating and performing exact inference on Bayesian Belief Networks.
Streamlines prompt design for developers and non-technical users with a low-code approach.
Recipes to scale inference-time compute of open models for AI/ML developers.
Neural Network Compression Framework for enhanced OpenVINOโข inference
The simplest way to serve AI/ML models in production, with support for popular models like Stable Diffusion and Whisper.
A C++ inference library for various SVC/TTS models, including DiffSinger, DiffSVC, HiFiGAN, and VITS.
A Python package for causal inference in quasi-experimental settings
EfficientFormer is a deep learning model for efficient image segmentation and object detection.
A tool for structurally pruning large language models like LLaMA, BLOOM, and Vicuna to reduce their size and inference time.
Open-source projects related to trustworthy AI, including causal discovery, causal inference, and causality.
A curated list of causal inference libraries, resources, and applications for developers.
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