Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

设计模式超简单的解释 - An ultra-simplified explanation to design patterns

A terminal based graphical activity monitor inspired by gtop and vtop

Manifold Markov chain Monte Carlo methods in Python

A complete daily plan for studying to become a Google software engineer.

复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

VIP cheatsheets for Stanford's CS 229 Machine Learning

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Implementation of papers for text classification task on DBpedia

中文常用停用词表（哈工大停用词表、百度停用词表等）

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

TensorFlow code and pre-trained models for BERT

中文整理的强化学习资料（Reinforcement Learning）

Toolkit for Text Generation and Beyond

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

BDCI 2018 汽车行业用户观点主题及情感识别 决赛一等奖方案

深度学习教程整理 | 干货

Deep Learning Book Chinese Translation

An collection of Chinese nlp corpus including basic Chinese syntatic wordset, semantic wordset, historic corpus and evaluate corpus. 中文自然语言处理的语料集合，包括语义词、领域共时、历时语料库、评测语料库等。

📖 [译] 面向机器学习的特征工程

all kinds of text classification models and more with deep learning

📖 [译] Sklearn 与 TensorFlow 机器学习实用指南

My Reading Lists of Deep Learning and Natural Language Processing

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

📡 Organized & Useful Resources about Deep Learning with TensorFlow

📡 All You Need to Know About Deep Learning - A kick-starter

A collection of full-stack resources for programmers.

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.