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

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.

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

Manifold Markov chain Monte Carlo methods in Python

复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

Natural Language Processing Tutorial for Deep Learning Researchers

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

The "Python Machine Learning (2nd edition)" book code repository and info resource

Simple and ready-to-use tutorials for TensorFlow

LeetCode, HackRank, 剑指offer, classic algorithm implementation

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

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

A collection of full-stack resources for programmers.

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

📡 Organized & Useful Resources about Deep Learning with TensorFlow

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.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

My Reading Lists of Deep Learning and Natural Language Processing

📖 [译] Sklearn 与 TensorFlow 机器学习实用指南

all kinds of text classification models and more with deep learning

📖 [译] 面向机器学习的特征工程

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。

Deep Learning Book Chinese Translation

深度学习教程整理 | 干货

BDCI 2018 汽车行业用户观点主题及情感识别 决赛一等奖方案

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

Toolkit for Text Generation and Beyond