Showing 281-300 of 308 projects
A collection of samples and tools for building AI-powered Windows applications using frameworks like TensorFlow and PyTorch.
Large-scale 3D scene reconstruction and novel view synthesis using Gaussian representations.
Implementation of the QuickDraw game, a computer vision and deep learning project focused on image classification.
A research repository focused on tabular deep learning, providing papers and Python packages.
A comprehensive introduction to deep learning using TensorFlow, covering a range of AI and machine learning topics.
Rust-based library for building dynamic neural networks and performing autodifferentiation.
An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.
A curated collection of research papers and resources for natural language processing (NLP) practitioners.
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
A next-generation recommendation system library for building AI-powered content discovery platforms.
A recurrent neural network trained on Kanye West's discography to generate new rap songs and lyrics.
An efficient multi-scale 3D convolutional neural network for medical image segmentation tasks.
PyTorch implementation of a lossless image compression technique using super-resolution.
A repository containing diagrams for visualizing neural network architectures, useful for AI/ML developers.
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond.
This repository contains code and material for a book on deep learning and the game of Go, focused on the AlphaGo and AlphaGo Zero algorithms.
A PyTorch implementation of BigGAN with pretrained weights and conversion scripts for generative AI models.
A unified ensemble framework for PyTorch to improve model performance and robustness.
An AI-powered tool to upscale images by 4x while preserving photo-realistic details, built using TensorFlow.
A collection of notes and code for the Andrew Ng Deep Learning course, useful for learning AI and ML concepts.
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