Showing 2721-2740 of 4,064 projects
A comprehensive learning guide and list of Zig programming language projects and libraries.
A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
A personal blog and learning journal for a developer focused on JavaScript and frontend development.
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.
Infer.NET is a C# framework for running Bayesian inference in graphical models, useful for machine learning.
A Python-based multimodal OCR tool for efficient offline processing of LaTeX, ZhEn, and tables on Windows.
A collection of pre-trained models for the dlib computer vision and machine learning library.
A mirror of the 'A Tour of Go' tutorial, focused on helping developers learn the Go programming language.
A computer vision and deep learning-based face mask detection system using OpenCV and TensorFlow/Keras.
A curated list of papers on Agential Language Models and Reinforcement Learning for AI developers.
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.
The official implementation of RAPTOR, a framework for Recursive Abstractive Processing for Tree-Organized Retrieval.
DomainBed is a suite to test domain generalization algorithms for machine learning models.
An open-source Android library for building FFmpeg-based multimedia applications.
A tutorial on using scikit-learn and IPython for parallel machine learning tasks.
A curated list of papers, tutorials, and surveys on AI for time series analysis and forecasting.
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
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