Popular GitHub Repositories for Intersection

Cool experiments at the intersection of Computer Vision and Sports ??

A unified framework for privacy-preserving data analysis and machine learning

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。

Curated research at the intersection of causal inference and natural language processing.

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Privacy Preserving Vertical Federated Learning

Streamlit and LangGraph Intersection Starters, LangGraph with Streamlit, Streamlit with LangGraph

Machine Learning Project to identify an ID Card on an image

Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)

:traffic_light: An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.

Community-curated resources for research at the intersection of AI and molecular sciences

Study on the application of reinforcement learning to the management of a traffic light intersection.

ANGELCORE is a radical synthesis of biology, machine learning, and cosmological engineering. It represents a new species of intelligence, an Artificial Angel, birthed from the intersection of human neural substrates.

Scramble Crossing with Deep Reinforcement Learning

Trustworthy AI: From Theory to Practice book. Explore the intersection of ethics and technology with 'Trustworthy AI: From Theory to Practice.' This comprehensive guide delves into creating AI models that prioritize privacy, security, and robustness. Featuring practical examples in Python, it covers uncertainty quantification, adversarial ML

Application of pre-trained YOLO object detection model to car detection for autonomous driving

The ever-evolving landscape of artificial intelligence has presented an intersection of visual and linguistic data through large vision-language models (LVLMs). MoE-LLaVA is one of these models which stands at the forefront of revolutionizing how machines interpret and understand the world, mirroring human-like perception. However, the challenge s

? Devised a U-Net-based Image Segmentation Model for land cover analysis on 5 classes from LandCover Dataset. ? Developed a network based on the ResNet34 Architecture and achieved 0.72 mean Intersection over Union (IoU).

A TensorFlow implementation of TrafficLightNeuralNetwork (ANN-based Traffic Light Controller).