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This repository contains the code for developing, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch).

Explore the world of Artificial Intelligence (AI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI

The AI harness to build tailored resumes for each job application with Claude, ChatGPT, DeepSeek, Kimi, GLM, Gemma, and other LLMs. Supports both local and remote LLMs.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

"This is a highly welcome addition to the machine learning literature."

> Prefer to Clone Locally? > > This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout: > > Bash / macOS / Linux: >

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert资源、文本…

This list is continuously updated. - You can take pull requests and contribute. All Links are tested and working fine.

一个基于 283 万字语料统计的去 AI 味 skill · An AI-tone removal skill grounded in a 2.83-million-character corpus study

jev lets you filter, rank and classify rows with plain-language conditions. Every row is judged by TypeSafe's Jev, a System One model that returns calibrated probabilities instead of generated text. No index, no embeddings, no vector column.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

AI가 쓴 한글을 사람 글처럼 윤문하는 Claude 스킬 — Korean AI-text humanizer: detects and rewrites translationese, mechanical parallelism, and 71 other AI tells

As of April 2026, too many PRs are being generated by LLMs, this is no longer fun or manageable. If you want to contribute to this repo, email me at joseph dot misiti @ hey dot com to prove you're human with a link to your PR and I'll merge it. Thank you for your understanding.

Hy-MT2 is a family of “fast-thinking” multilingual translation models designed for complex real-world scenarios. 8B, 7B, and 30B-A3B (MoE), all of which support translation among 33 languages and effectively follow translation instructions in multiple languages. 5x.

In this course, we'll go from experimentation (design + development) to production (deployment + iteration). We'll do this iteratively by motivating the components that will enable us to build a reliable production system.

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents.

An open-source, tool-augmented conversational language model from Fudan University

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

This framework provides an easy method to compute embeddings for accessing, using, and training state-of-the-art embedding and reranker models. a.

LanguageTool is open-source proofreading software for English, Spanish, French, German, Portuguese, Polish, Dutch, and more than 20 other languages. It finds many errors that a simple spell checker cannot detect.

🔥 Large Language Models(LLM) have taken the NLP community AI community the Whole World by storm. Here is a curated list of papers about large language models, especially relating to ChatGPT.

📥 Model Download | 📄 Paper Link | 📄 Arxiv Paper Link |

Important] > Qwen2 is here! You are welcome to follow QwenLM/Qwen2 and share your experience there. > > This repo (QwenLM/Qwen) is no longer actively maintained, due to substantial codebase differences.

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Autumn-Recruit Algo Notes(秋招算法学习仓库)，面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构，到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学，通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。

>If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"