Showing 221-240 of 2,040 projects
A terminal-based UI for the popular network analysis tool Wireshark, written in Go.
A comprehensive repository for computer vision best practices, code samples, and documentation.
LaMa is a PyTorch-based library for high-resolution image inpainting using Fourier convolutions.
A Python library for outlier and anomaly detection, integrating classical and deep learning techniques.
A high-level deep learning library for TensorFlow, enabling developers to build complex neural networks with ease.
An open-source project that uses deep learning and OCR to translate text in manga/images
Simple reinforcement learning tutorials in Python using TensorFlow for AI/ML developers.
Flannel is a network fabric for containers, designed for Kubernetes to provide a reliable and scalable overlay network.
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications.
Comprehensive set of TensorFlow tutorials with accompanying YouTube videos for learning deep learning and machine learning.
A neural network library for speaker diarization, including speech activity detection, speaker change detection, and speaker embedding.
This C++ library provides reliable and unreliable UDP networking capabilities with features like message fragmentation, P2P, and encryption.
Keras implementations of Generative Adversarial Networks (GANs) for deep learning and AI applications.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.
Social networking technology created by Bluesky, focused on developer-friendly features.
A comprehensive DevOps guide covering various tools and configurations for efficient development and deployment.
High-performance server-side application framework written in C++, suitable for building low-latency, high-throughput network applications.
A PyTorch library with pre-trained convolutional networks for various computer vision tasks.
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