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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog
Docker - Beginners | Intermediate | Advanced
TranslatedOpenClaw Chinese tutorial (4,500+ Stars · printed book published): installation, configuration, Skills, Feishu integration, and pitfalls to avoid | For the author's new GPT-6 / Codex / Claude Code projects, see the top of the README
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料
LLM Finetuning with peft
A reverse engineering of Linear's sync engine.
Things to do after installing Fedora 45
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
一个秒杀系统的例子分析
A checklist for incorporation so you can get back to building your product, fundraising, etc.
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
:orange_book: a brief introduction to using Promises in JavaScript
Simple Vulkan raytracing tutorials
Bitcoin Programming with BitcoinJS, Bitcoin Core and LND
Detailed guide for how to get started with beatoraja or BMS in general. -- For example: What is BMS, How do I set it up, Where do I download songs, How does the community work, How does the difficulty system work
TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.
Tips and notes about Blazor and Tailwind
Delphi Android Kapsamlı Depolama / Scoped Storage - Storage Access Framework SAF
:wrench: Hardware & computer guide for AI: how to choose & build a computer. This guide is intended for beginers in hardware, in order to plan what you need and how to choose parts for a computer specialized in Deep Learning. 🤖
Blazor WebAssembly Standalone App with OIDC Authentication