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2019-autumn-recruitment-experience

2019届秋招面经集合

ad-papers

Papers on Computational Advertising

algorithmexperiment

算法设计与分析实验作业，采用动态规划和递归方法求解

awesome-causality-algorithms

An index of algorithms for learning causality with data

causalml

Uplift modeling and causal inference with machine learning algorithms

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deep-learning-models

Keras code and weights files for popular deep learning models.

deep_learning

Basic Deep Learning

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

dragonnet

euler

A distributed graph deep learning framework.

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

interview_notes-chinese

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

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

langchain-chatchat

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

lectures

Oxford Deep NLP 2017 course

lime

Lime: Explaining the predictions of any machine learning classifier

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

models

Models and examples built with TensorFlow

nlp_course

YSDA course in Natural Language Processing

o2o-coupon-usage-forecast

1st Place Solution for O2O Coupon Usage Forecast

open-solution-home-credit

Open solution to the Home Credit Default Risk challenge :house_with_garden:

or-tools

Google's Operations Research tools:

python-machine-learning-book-2nd-edition

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

recbole

A unified, comprehensive and efficient recommendation library

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.