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This is a dynamic multilevel Bayesian model for predicting US presidential elections, written in R and Stan.
A Rust library for deduplicating text datasets, potentially useful for machine learning projects.
An AI-powered platform for creating virtual influencers and content creators on platforms like Bilibili and Douyin.
A fast local neural text-to-speech engine for Mycroft, an open-source voice assistant.
An open-source toolkit for analyzing the internal workings of Transformer-based language models.
Avatarify is a desktop application that allows you to animate your face and create realistic videos with AI.
This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.
A fast and differentiable PyTorch library for computing MS-SSIM and SSIM image quality metrics.
A family of diffusion models for text-to-audio generation, targeting vibe coders who build with AI tools.
A curated list of resources for relation extraction, a key NLP task, useful for vibe coders.
A repository that provides daily updates on the latest research papers related to large language models (LLMs).
A real-time emotion recognition library using computer vision and deep learning.
An open-source Python framework for processing Earth observation data using machine learning.
A template for deploying a Keras-based image classifier web app using Flask in 10 minutes.
A comprehensive Python and C++ data mining library for algorithms, clustering, neural networks, and more.
A collection of high-quality open-source speech, audio, and codec models for building AI-powered speech applications.
A simulation platform for versatile Embodied AI research and developments.
A simple semi-supervised learning method with limited data, useful for AI/ML developers.
Real-time object detection library with support for 9000+ classes, suitable for AI/ML developers.
A Python library that integrates Stable Diffusion with the Blender 3D modeling software for AI-powered 3D content creation.
A mini AI-powered camera project written in C for embedded systems and IoT applications.
Python-based automation tool for the Lian Lian Kan game, allowing users to quickly complete the game.
A C++ implementation of a visual-inertial odometry algorithm for robotic navigation.
A computational framework for reinforcement learning in traffic control and autonomous vehicle management.
An AI-powered gene editing system for developers working with AI-enabled tools and applications.
GPU-accelerated deep learning library in Python for building and training neural networks.
Matterport3D is a dataset for RGB-D machine learning tasks, especially 3D reconstruction and semantic scene understanding.
A collection of resources for learning about backdoor attacks and defenses in machine learning and deep learning.
A high-performance C++ library for fast nearest neighbor search using locality-sensitive hashing (LSH) algorithms.
Efficient and high-quality text-to-audio generation with a latent consistency model.
This Jupyter Notebook series covers the fundamentals of NLP and Computer Vision, leading to cutting-edge Vision-Language Models.
An open-source implementation of a state-of-the-art unsupervised image denoising algorithm for developers working with computer vision.
This GitHub repository is a open-source TTS (Text-to-Speech) tracking tool for developers.
Federated learning library for distributed AI model training across multiple devices or servers.
A Jupyter Notebook for visualizing 3D object detection and LiDAR point clouds from the KITTI dataset.
An open-source library for creating co-speech gesture video reenactment with AI models.
A framework for prototyping full-stack cooperative driving automation applications using CARLA and SUMO.
Gaussian-SLAM is a Python library for photo-realistic 3D reconstruction and SLAM using Gaussian splatting.
One-stop shop for running AI/ML on AWS with Docker, EC2, ECS, EKS, and SageMaker
A Python library for using IC-LIght models in the ComfyUI AI coding tool.
A Python library for automated neural architecture search, enabling AI-powered model discovery.
A fast and customizable PyTorch library for audio data augmentation, useful for deep learning applications.
Streamlines prompt design for developers and non-technical users with a low-code approach.
An open-source solution to automate the process of verifying factuality, designed for AI-focused developers.
A deep learning toolkit for drug discovery, drug-target interaction, and protein function prediction.
A Python utility for hot-reloading code without losing state, useful for AI/ML development.
Official PyTorch implementation of a state-of-the-art virtual try-on model for high-resolution clothing generation.
A web app that uses AI to convert text to Mermaid code and render it as visualizations.
Portfolio optimization tool using deep learning and PyTorch for finance and wealth management.
Open-source projects related to trustworthy AI, including causal discovery, causal inference, and causality.
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