Trending Projects

Frontier CoreML audio models for iOS and macOS apps with text-to-speech, speech-to-text, voice activity detection, and speaker diarization.

A Python library for generating physically stable 3D toy brick models from text prompts.

BrainFlow is a library for obtaining, parsing and analyzing data from various biosensors like EEG, EMG, ECG.

A Rust library for running customized and fine-tuned large language models (LLMs) locally or on the edge.

This Python project helps developers build knowledge graphs from scratch, including named entity recognition, relation extraction, and question answering.

A Python-based multimodal OCR tool for efficient offline processing of LaTeX, ZhEn, and tables on Windows.

Infer.NET is a C# framework for running Bayesian inference in graphical models, useful for machine learning.

A Python library that enables lifting 2D objects to 3D using Segment-Anything model.

A lightweight and efficient virtual try-on diffusion model for fashion applications.

A collection of pre-trained models for the dlib computer vision and machine learning library.

A computer vision and deep learning-based face mask detection system using OpenCV and TensorFlow/Keras.

A library for training AI models on circuit designs, likely useful for vibe coders working on AI-powered hardware.

A Jupyter Notebook-based tool for generating AI-powered NFT images.

A curated list of papers on Agential Language Models and Reinforcement Learning for AI developers.

A lightweight Python library that provides a unified API for common reranking and cross-encoder models.

The official implementation of RAPTOR, a framework for Recursive Abstractive Processing for Tree-Organized Retrieval.

Demos for the Claude AI agent SDK, enabling developers to build AI-powered applications and tools.

This open-source repository provides a collection of state-of-the-art visual object tracking algorithms built with PyTorch for developers working on computer vision and deep learning projects.

DomainBed is a suite to test domain generalization algorithms for machine learning models.

A simple Python implementation of a GRPO-like LLM for reproducing r1-like thinking.

A tutorial on using scikit-learn and IPython for parallel machine learning tasks.

A dense image captioning library in Torch for developers working on computer vision AI projects.

A TypeScript framework for building AI-powered applications and workflows using a modular, agent-based architecture.

A fast, efficient open-source C++ library for point cloud registration using GICP algorithms.

A curated list of papers, tutorials, and surveys on AI for time series analysis and forecasting.

A repository of 60 useful data science prompts for ChatGPT to help developers build with AI tools.

A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.

Open-source implementations of machine learning algorithms from scratch in Python.

Pre-trained neural network models in Elixir's Axon framework, with integration for Hugging Face models.

A Python-based data infrastructure platform for declarative, incremental multimodal AI workloads.

Implementation of the state-of-the-art YOLOv13 object detection model with hypergraph-enhanced visual perception.

A Python library for advanced audio and music signal processing tasks, useful for vibe coders building AI-powered music apps.

An open-source diffusion-based multimodal LLM framework for unified understanding and generation.

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android and Raspberry Pi devices.

Macaw-LLM is a multi-modal language modeling framework that integrates image, video, audio, and text data.

A powerful Rust crate for building chains in large language models, enabling text summarization and complex task completion.

An AI-powered text-to-image generation model for creating high-quality images from text prompts.

A Python library for parsing natural language text into grammatical structure.

A flexible voxel-based mapping library for robotics, focused on truncated and Euclidean signed distance fields.

Ultrafast serverless GPU inference, sandboxes, and background jobs for AI-focused developers.

A JavaScript library that provides a powerful geometric algebra generator for various languages.

An efficient and flexible graph learning framework based on PaddlePaddle, with support for heterogeneous graphs and meta-path learning.

Tutorials and implementations for self-normalizing neural networks, a type of AI model.

A safe reinforcement learning from human feedback (RLHF) system for aligning large language models with human values.

High-performance PyTorch implementation of the SSD (Single Shot MultiBox Detector) for object detection.

A Python module for automatic keyphrase extraction from documents.

A library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, for supervised speaker diarization.

A large language model from Tencent's Hunyuan project, potentially useful for AI-powered coding tools and applications.

A fast symbolic computation library for robotics, with capabilities like code generation and nonlinear optimization.

An open-source Java and Kotlin solver library for optimizing scheduling and routing problems using AI.