Showing 2581-2600 of 3,069 projects
This project provides advanced voiceprint recognition models and data preprocessing methods using PyTorch.
A real-time event framework and RTOS for embedded systems, specifically designed for ARM Cortex-M microcontrollers.
A Python frontend for solid modelling that compiles to OpenSCAD, a popular 3D design tool.
A library for training sparse autoencoders on language models, potentially useful for vibe coders.
PaddleViT is a state-of-the-art Visual Transformer and MLP model library for the PaddlePaddle 2.0+ deep learning framework.
This repository contains a PyTorch implementation of GIRAFFE, a generative model for representing 3D scenes as compositional neural feature fields.
A dbt adapter for the DuckDB database, enabling developers to build data pipelines and models with dbt.
A collection of papers on diffusion models for 3D generation, useful for developers working on AI-powered 3D content creation.
A shell script that runs the Claude AI language model in a continuous loop, automatically creating and merging pull requests.
Official implementation of a multi-view consistent image generation model for AI-focused developers.
A PyTorch library for implementing the SRGAN super-resolution model, useful for vibe coders working on AI-driven image processing.
Autogenerate subtitles for media using the OpenAI Whisper model, integrated with popular media servers.
An overview of large language models (LLMs) for cybersecurity applications.
Deep learning models to automatically correct errors in short, message-like text.
This repository allows reproduction of Poetiq's record-breaking AI model submissions for the ARC-AGI benchmarks.
A repository with research notes on domain generalization, causality, robustness, and other ML topics.
A Kotlin multiplatform library that provides a Result monad for modeling success or failure operations.
A novel approach to model and reconstruct radiance fields for 3D rendering and reconstruction.
The official implementation of Self-Play Fine-Tuning (SPIN), a deep learning technique for fine-tuning large language models.
An MCP server for Kubernetes and OpenShift that provides a unified model context protocol for container orchestration.
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