A curated list of resources for Learning with Noisy Labels
- noisy-labels
- label-noise
- deep-neural-networks
- noisy-data
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A curated list of resources for Learning with Noisy Labels
MonkeyKing helps you to post messages to Chinese Social Networks.
Deep neural network to extract intelligent information from invoice documents.
The future of online communications.
Open-source, non-custodial, privacy preserving Bitcoin wallet for Windows, Linux, and Mac.
A curated list of network embedding techniques.
iOS network debugging, like a wizard 🧙♂️
🕵️♂️ TUI for sniffing network traffic using eBPF on Linux
TensorFlow Tutorials
🌻 A pluggable, lightweight, highly optimized Jetpack Compose and Kotlin Multiplatform image loading library that fetches and displays network images.
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Security sensor for realtime threat detection and protection
High level asynchronous concurrency and networking framework that works on top of either Trio or asyncio
A p2p, secure file storage, social network and application protocol
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Android library listening network connection state and Internet connectivity with RxJava Observables
Network Automation and Programmability Abstraction Layer with Multivendor support
Message Passing Neural Networks for Molecule Property Prediction
Super simple deployment tool - think of it like 'make' for a network of servers
Free system monitor for OSX and macOS. See all system information at a glance in the menu bar.
Go error library with error portability over the network
Modern Honey Network
A curated list of community detection research papers with implementations.