Trending Projects

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

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

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.

Official repository for a paper on a large vision-language model for medical applications

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

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

Stylized Neural Painting is a PyTorch implementation for neural-based image stylization and painting translation.

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

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

An AI-powered agent for automatically generating complete math modeling papers.

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

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

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

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

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

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

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

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

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

Chat language model that can use tools and interpret the results for AI-focused developers.

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

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.

A survey paper on evaluating large language models (LLMs) for developers building AI-powered applications.

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

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

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

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.

An all-in-one LLMs chat UI for Apple Silicon Macs using the MLX framework, built with Python.

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

Automated deep learning algorithms implemented in PyTorch for AI-driven developers.

A Python module for automatic keyphrase extraction from documents.

Mora is a Python library for generalist video generation, allowing developers to create diverse AI-powered videos.

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.

A TensorFlow implementation of Deep Reinforcement Learning algorithms and papers.

A community-driven repository for Keras, a popular deep learning library for Python.

A Rust implementation of the TFHE homomorphic encryption scheme for working with encrypted data.

Kernl is a library that lets you run PyTorch transformer models several times faster on GPU with a single line of code.

Apache OpenNLP is a machine learning-based toolkit for natural language processing (NLP) tasks.

AgentScope Java: Agent-Oriented Programming framework for building LLM-powered applications

A real-time globally consistent 3D reconstruction library using online surface re-integration.

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3/V2, and other popular computer vision models for PyTorch.

A collection of papers and code for CVPR conferences focused on low-level computer vision tasks.

A Python library for physics-based simulations involving cloth, solids, and rods, useful for vibe coders building AI-powered applications.

A cleaned and curated version of the Alpaca dataset from Stanford, useful for machine learning projects.

A popular library for training, using, and evaluating word embeddings, a fundamental building block for natural language processing.