TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API on localhost, optional image input.
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, MQTTS, POP3, POP3S, RTSP, SCP, SFTP, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features
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macOS system monitor in your menu bar
Learn System Design concepts and prepare for interviews using free resources.
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A collection of design patterns/idioms in Python
Xray, Penetrates Everything. Also the best v2ray-core. Where the magic happens. An open platform for various uses.
The fastest, cheapest, most efficient open-source agent harness. Run more than 500 agents on a $10 VPS.
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
Plugins, agents, skills, and commands for Claude Code, Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi, written once in Markdown and adapted to each tool by generators with validation and evals.
A community-maintained Python framework for creating mathematical animations.
Elegant HTTP Networking in Swift
🚀 The easiest way to automate building and releasing your iOS and Android apps
AirLLM 2.8T LLM inference with single 4GB GPU
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Free and open source admin dashboard UI kit built on Bootstrap: 100+ pages, 6,000+ icons, dark mode, RTL.
Most modern mobile touch slider with hardware accelerated transitions
The best design tools and plugins for everything 👉
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A library for efficient similarity search and clustering of dense vectors.
An AI prompt optimizer for writing better prompts and getting better AI results.