Trending Projects

DLRover is an automatic distributed deep learning system for training large-scale AI models on Kubernetes.

A comprehensive collection of data augmentation resources and techniques for developers working with AI tools.

A collection of Python code and resources related to natural language processing tasks like topic modeling, text classification, and machine translation.

A Python library that makes it easy to deploy LangChain apps using Jina and FastAPI in production.

A comprehensive survey of deep learning techniques for 3D point cloud analysis, covering classification, detection, segmentation, and tracking.

Build, enrich, and transform datasets using AI models with no code

A PyTorch library for obtaining higher-order gradients over complex training loops.

A guide to learn about Transformer models, a foundational architecture for natural language processing.

This repository contains a collection of machine learning interview questions for developers to prepare for interviews.

A curated list of papers and resources on text style transfer, a task in natural language processing.

A Python library for creating AI-generated artwork using Stable Diffusion models.

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

A deep learning gateway for Raspberry Pi and other edge devices, enabling AI inference at the edge.

A curated list of Tiny Object Detection papers and related resources for developers working with AI-powered computer vision.

A Python library that provides building blocks for rapid development of generative AI applications.

A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.

This open-source project provides clarity on the current state of the fast-paced open-source AI landscape.

A personal knowledge management system and digital garden for Swyx, a developer focused on building with AI tools.

On-line Machine Learning library in Go for building AI-powered applications.

Extensible, parallel implementations of the popular t-SNE dimensionality reduction algorithm for data visualization.

A Jupyter Notebook-based course on accelerated computer vision using AWS Machine Learning University.

An open-source hardware platform for the SUSI AI virtual assistant, built with Python on Raspberry Pi.

A TensorFlow implementation of contextualized word representations from bi-directional language models.

A Python framework for GPR underground hazard detection using reservoir computing and SAM techniques.

A tool to generate generative NFT art projects using JavaScript.

A TensorFlow/Keras implementation of the Stable Diffusion AI model for text-to-image generation.

A Python library for training and detecting objects using the YOLO3 deep learning algorithm.

Google Assistant for macOS, allowing developers to build AI-powered voice assistants for their Mac applications.

This GitHub repository contains deep learning papers and resources focused on medical image analysis.

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

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

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

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

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

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.

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 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 Python library for parsing natural language text into grammatical structure.

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

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