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2020-datascience-lectures

ad-papers

Papers on Computational Advertising

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

ai_tutorial

精华机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理

airbnb-dynamic-pricing-optimization

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

albert_4_time_recognition

使用ALBERT预训练模型，用于识别文本中的时间，同时验证模型的预测耗时是否有显著提升。

anomalydetection

Anomaly Detection with R

awesome-knowledge-graph

整理知识图谱相关学习资料

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bert-chinese-text-classification-pytorch

使用Bert，ERNIE，进行中文文本分类

bert4rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

bigscity-libcity

LibCity: An Open Library for Urban Spatial-temporal Data Mining

blockchain

blog_posts

causal-inference-in-python-code

Code for the Book Causal Inference in Python

ceshi

chatbot_cn

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

chatglm-finetuning

基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等

chatgpt

Reverse engineered ChatGPT API

cmlahirfpp

Comparison Machine Learning and Human Inteligence in Road Freight Price Prediction

competition-baseline

数据科学竞赛知识、代码、思路

cudahandbook

Source code that accompanies The CUDA Handbook.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-notes

数据科学的笔记以及资料搜集

data_science_industrial_practice

《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。

dbrl

Dataset Batch(offline) Reinforcement Learning for recommender system

deepfm_keras

A simple DeepFM.

deploy_keras_tensorflow_model_by_flask

使用flask部署深度学习模型