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@Qiao_blog · Post #1127 · 03/19/2025, 02:08 PM
▎fail2ban #Linux#fail2ban#安全 https://github.com/fail2ban/fail2ban
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Source channel @githubtrending · Post #14747 · May 25
#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch
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@githubtrending · Post #15249 · 10/26/2025, 12:30 PM
#html#ech#fail2ban#http#mixed#ml_dsa_65#ml_kem_768#post_quantum#reality#shadowsocks#shadowsocks2022#tls#trojan#tunnel#vless#vmess#wireguard#x25519#xtls_rprx_vision#xtls_rprx_vision_udp443 3X-UI is an easy-to-use, open-source web control panel for managing Xray-core VPN servers. It supports many VPN protocols like VMess, VLESS, Shadowsocks, Trojan, and WireGuard, letting you configure, monitor traffic, manage users, and set limits through a simple web interface. It includes features like automatic SSL certificates, traffic statistics, multi-user support, and security options such as firewall rules and IP bans. This makes managing VPN servers faster, more secure, and accessible even if you are not an expert, helping you control your VPN setup efficiently and safely. https://github.com/MHSanaei/3x-ui