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2018-tencent-ad-competition-baseline

2018腾讯广告算法大赛baseline 线上0.73

architecture.of.internet-product

互联网公司技术架构，微信/淘宝/腾讯/阿里/美团点评/百度/微博/Google/Facebook/Amazon/eBay的架构，欢迎PR补充

awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

bytecup_solution

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deeplearning_ai_books

deeplearning_ai_books

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast_tffm

fast_tffm: Tensorflow-based Distributed Factorization Machine

fastfm

fastFM: A Library for Factorization Machines

fasttext

Library for fast text representation and classification.

feature-selection

Features selection algorithm based on self selected algorithm, loss function and validation method

fm_ftrl

Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition

ftrl

ftrl

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

jieba

结巴中文分词

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

machinelearning

Basic Machine Learning and Deep Learning

notes-python

中文 Python 笔记

openlearning4deeprecsys

Some deep learning based recsys for open learning.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-examples

Simple examples to introduce PyTorch

pytorch-notebook

pytorch个人学习笔记

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

recommender-system

Some algorithms about traditional and social recommendation.

reinforce

reinforcement learning

roberta_zh

RoBERTa中文预训练模型: RoBERTa for Chinese

simplified-deeplearning

Simplified implementations of deep learning related works

tensorflow

Computation using data flow graphs for scalable machine learning