Bayesian optimisation library developped by Huawei Noah's Ark Library

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing projec…

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

Manifold Markov chain Monte Carlo methods in Python

陌陌风控系统静态规则引擎，零基础简易便捷的配置多种复杂规则，实时高效管控用户异常行为。

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

中文整理的强化学习资料（Reinforcement Learning）

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