Showing 801-820 of 1,001 projects
Research interface for blackbox and hyperparameter optimization using the Google Vizier Service
A roadmap to become a Visual SLAM (Simultaneous Localization and Mapping) developer in 2023.
A guide to learn about Transformer models, a foundational architecture for natural language processing.
A deep learning gateway for Raspberry Pi and other edge devices, enabling AI inference at the edge.
Open-source tools for computational pathology and digital pathology research using deep learning and weakly-supervised learning.
A Jupyter Notebook-based course on accelerated computer vision using AWS Machine Learning University.
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
A Python library for training and detecting objects using the YOLO3 deep learning algorithm.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, and Quantum Neural Networks.
This GitHub repository contains deep learning papers and resources focused on medical image analysis.
A Python-based multimodal OCR tool for efficient offline processing of LaTeX, ZhEn, and tables on Windows.
A computer vision and deep learning-based face mask detection system using OpenCV and TensorFlow/Keras.
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.
A curated list of papers, tutorials, and surveys on AI for time series analysis and forecasting.
Macaw-LLM is a multi-modal language modeling framework that integrates image, video, audio, and text data.
High-performance PyTorch implementation of the SSD (Single Shot MultiBox Detector) for object detection.
A community-driven repository for Keras, a popular deep learning library for Python.
Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.
A Python library for deep probabilistic analysis of single-cell and spatial omics data.
A summary of the famous Stanford CS231n deep learning course, focused on helping developers learn and remember the material.
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