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A comprehensive survey of various question answering (QA) systems, including KBQA, TextQA, TableQA, VisualQA, and MRC.
Official code for a state-of-the-art score-based generative modeling approach using stochastic differential equations.
A JavaScript-based Gobang (Five-in-a-Row) AI game, built using the Alpha-Beta pruning algorithm.
A C++ library for tightly-coupled lidar-visual-inertial odometry and mapping, useful for robotics and autonomous systems development.
NLTK Data is a collection of datasets, models, and other resources for natural language processing in Python.
A collection of TensorRT demos for object detection, image classification, and other computer vision tasks.
PyTorch implementation of the PointNet2/PointNet++ architecture for processing point cloud data.
Fast Transformers is a PyTorch library for efficient implementation of transformer models.
A platform for building and training multi-agent reinforcement learning systems.
This repository contains materials, slides, and notebooks for Andrew Ng's deeplearning.ai course on machine learning and AI.
Pixel2Mesh is a Python library for generating 3D mesh models from single RGB images.
A repository focused on natural language processing, knowledge graphs, and conversational AI research and applications.
Deep Learning Specialization by Andrew Ng, a popular online course for learning deep learning concepts.
Private and secure AI tools for improving developer productivity and security.
Efficient and flexible control for diffusion transformer models in AI-powered coding tools and platforms.
A deep learning-based interest network that discovers and connects developers with similar interests and coding styles.
An open-source tool to quantify the world using computer vision and YOLO object detection on edge devices.
A powerful universal image segmentation model that can handle various segmentation tasks with a single transformer-based model.
A collection of real-world AI/ML exploits for responsibly disclosed vulnerabilities.
An end-to-end library for editing and rendering motion of 3D characters using deep learning
A Python library that allows you to fake your webcam background on Linux, with support for blurring, animations, and color effects.
A curated collection of resources related to the Segment Anything model, a powerful image segmentation tool.
A highly scalable distributed vector search engine for high-dimensional data and AI applications.
A collection of state-of-the-art video and single-image super-resolution architectures in TensorFlow.
An open-source AI-powered drone location tracking system for developers.
This is a Python library for learning flow fields in attention for controllable person image generation.
An open-source project for end-to-end recovery of human shape and pose from images.
A Python library for sentiment analysis on tweets using various machine learning models.
A comprehensive guide and compendium of information on the Stable Diffusion AI model and its ecosystem.
This GitHub repository provides a collection of tools for controllable video and image generation, including AI-powered animation and ControlNeXt.
A model-agnostic framework for extracting features from machine learning models at any resolution.
Build, enrich, and transform datasets using AI models with no code
Open-source codebase for a paper on using evolution strategies for scalable reinforcement learning.
On-line Machine Learning library in Go for building AI-powered applications.
PaddleSlim is an open-source library for deep model compression and architecture search.
A Python framework for GPR underground hazard detection using reservoir computing and SAM techniques.
Examples of using sparse attention, a technique for efficient Transformer-based sequence modeling.
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.
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.
An AI-powered text-to-image generation model for creating high-quality images from text prompts.
Chat language model that can use tools and interpret the results for AI-focused developers.
Mora is a Python library for generalist video generation, allowing developers to create diverse AI-powered videos.
A popular library for training, using, and evaluating word embeddings, a fundamental building block for natural language processing.
DeepAA is a Python library that uses deep learning to generate ASCII art from images.
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
A toolkit to optimize machine learning models for deployment, including quantization and pruning.
In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.
An open-source Texas Hold'em poker AI engine built with Python and AI/ML techniques.
A curated collection of vector search-related libraries, services, and research papers for developers.
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