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A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.
Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.
A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.
A Java library that listens to network traffic and categorizes the quality of the network connection.
Smap is a drop-in replacement for Nmap that uses Shodan.io to scan and discover devices on a network.
Python library for Causal AI and Bayesian networks
A lightweight, high-performance Go-based game server framework for building distributed systems and networking applications.
A cross-platform web debugging proxy to inspect and modify network traffic for web development.
A PyTorch library for training Siamese and triplet networks for learning embeddings and similarity.
A curated collection of resources for data science and machine learning enthusiasts.
Pytorch implementation of various deep reinforcement learning algorithms for vibe coders.
Code for visualizing the loss landscape of neural networks, a powerful tool for AI and ML researchers.
This is a deprecated WiFi hacking tool that can be used for man-in-the-middle attacks and network sniffing.
A lightweight, fast, and secure proxy protocol for developers who need low-latency network connections.
ENet is a reliable UDP networking library written in C, useful for real-time multiplayer games and applications.
mtr is a network diagnostic tool that combines the functionality of ping and traceroute.
A comprehensive DevOps learning and resource repository for developers, with tools, scripts, and best practices.
A powerful network analysis and packet capture tool for developers and security professionals.
A delightful machine learning tool that allows you to train, test, and use models without writing code
A computer vision and machine learning library optimized for Arm CPUs and GPUs using SIMD technologies.
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