Showing 181-200 of 321 projects
Reference implementations of popular deep learning models for training and inference.
OneDiff: An out-of-the-box acceleration library for diffusion models.
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
A tool to run Llama 2 language models locally with a Gradio UI, for building generative AI apps and agents.
A Java-based computer vision algorithm inference framework used in the developer's projects.
uTensor is a TinyML AI inference library for microcontrollers and edge devices, enabling embedded AI applications.
GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.
Compares the performance of multiple NVIDIA GPUs and Apple Silicon for running large language model inference.
A TensorFlow template application for building deep learning models and deploying them to production.
Flux 2 is a pure C inference engine for an image generation model, useful for vibe coders working with AI tools.
Official inference repo for FLUX.2 models, a library for building AI-powered applications.
A general-purpose probabilistic programming system for building AI and ML applications.
An LLM compiler that enables efficient parallel function calling for large language models.
Absolute Zero Reasoner is a Python library for logical reasoning and inference on text data.
An R package for causal inference in time series analysis, useful for data-driven decision making.
Open-source inference module for AgiBot X1, utilizing C++.
A Kotlin library that runs Stable Diffusion on Android devices with Snapdragon NPU acceleration.
A TypeScript library that infers TS types from JSON schemas, useful for building type-safe APIs.
A flexible PHP framework for building production-ready AI-driven applications with modular components like LLMs and vector databases.
A highly efficient and compact MobileNet-based object detection model for real-time inference on mobile devices.
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