Showing 241-260 of 1,001 projects
A detailed guide for undergraduate students or anyone wanting to dive into the field of AI with a solid foundation.
A collection of Variational Autoencoders (VAEs) implemented in PyTorch for deep learning research and applications.
This Python repository provides a deep dive into the math, principles, and code behind the 'Deep Learning' book, a.k.a. the 'Deep Learning Bible'.
A curated list of awesome object detection resources and libraries for computer vision and deep learning.
An open-source, distributed machine learning platform with support for various algorithms and autoML.
A 2D and 3D face alignment library built using PyTorch for face detection and alignment.
An open-source, multi-purpose AI creation toolbox for text-to-image, image/video processing, and more.
A deep learning and reinforcement learning library for scientists and engineers, with support for TensorFlow.
A customizable 3D platform for agent-based AI research and development.
PaddlePaddle Lite is a high-performance deep learning inference engine for mobile and edge devices.
A comprehensive code repository for the popular 'Python Machine Learning (2nd edition)' book, covering data science, machine learning, and deep learning topics.
Solutions and notes for the Machine Learning Specialization by Andrew NG on Coursera.
Open-source PyTorch library for building neural machine translation and language models.
A Python framework for creating AI agents that can learn to play any game you own
A PyTorch library for synthesizing and manipulating high-resolution 2048x1024 images using conditional GANs.
An open-source library for deep learning end-to-end dialog systems and chatbots.
Officially maintained deep learning models by PaddlePaddle, covering computer vision, NLP, speech, and more.
A collection of cheatsheets for the Stanford CS 230 Deep Learning course, covering key concepts and techniques.
An interactive visualization tool that explains how transformer language models work, targeting AI-focused developers.
A comprehensive reading list for research topics in multimodal machine learning.
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