Showing 21-40 of 73 projects
A collection of 100 deep learning examples for computer vision, NLP, and other AI/ML tasks using TensorFlow and PyTorch.
A curated collection of survey papers summarizing advances in deep learning, NLP, CV, and other ML domains.
A comprehensive collection of interview questions and answers for AI, computer vision, and LLM topics.
An open-source computer vision framework for building machine vision applications in Python.
Comprehensive analytics, versioning, and ETL toolkit for multimodal data (video, audio, PDFs, images)
Unofficial implementation of the LaneNet model for real-time lane detection in self-driving car applications.
A curated list of resources on text-to-image generation and synthesis, useful for AI-focused developers.
A collection of resume and portfolio templates and examples for developers to showcase their work.
A fully functional poker bot that uses computer vision, neural networks, and genetic algorithms to play poker on various platforms.
A Bootstrap 4 theme for creating a resume/CV website, with open-source HTML/CSS code.
Open-source platform for evaluating state-of-the-art in AI and machine learning models and challenges.
A PyTorch toolbox for advanced face recognition tasks like masked face recognition and fairness evaluation.
A library that enhances the OpenCV Android SDK to solve issues with image preview on Android.
A fully automated and cross-platform Fate/Grand Order (FGO) assistant for automating tower climb and weekly tasks.
A comprehensive repository for implementing research papers on deep learning, NLP, and computer vision in Python.
A collection of articles and notes on various topics like sorting, matching, user profiling, recommendation, and more for developers.
A curated list of awesome PyTorch libraries, models, and tutorials in Chinese translation.
Minimal and formal résumé (CV) website template for print, mobile, and desktop.
A comprehensive Q&A repository covering computer vision, machine learning, and C++ fundamentals for developers.
A highly efficient and compact MobileNet-based object detection model for real-time inference on mobile devices.
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