DeshuaiWang

DeshuaiWang's Stars

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook21.7k2.2k

• kubeflow/pipelines

  Machine Learning Pipelines for Kubeflow

  Language:Python3.5k1.6k

• GoogleCloudPlatform/mlops-on-gcp

  Language:Jupyter Notebook7532.6k

• ForrestIsARealGoodman/LightSpider-AUProperty

  Simple spider for real estate (domain) only for study purpose.

  Language:Python2

• duxuhao/Feature-Selection

  Features selector based on the self selected-algorithm, loss function and validation method

  Language:Python668202

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  59.3k9.8k

• spencer-project/spencer_people_tracking

  Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

  Language:C++655326

• juliannarenaud/CustomerSegmentation

  Language:Jupyter Notebook3

• mbzhuang/CustomerSegmentationforVAProducts

  Language:Jupyter Notebook23

• iris9112/Customer-Segmentation

  Learn real-world techniques on customer segmentation and behavioral analytics, using a real dataset containing customer transactions from an online retailer.

  Language:Jupyter Notebook2715

• jalajthanaki/Customer_segmentation

  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

  Language:Jupyter Notebook12757

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.6k2.5k

• ypwhs/dogs_vs_cats

  猫狗大战

  Language:Jupyter Notebook615250

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.1k12.9k

• fchollet/deep-learning-models

  Keras code and weights files for popular deep learning models.

  Language:Python7.3k2.5k

• WillKoehrsen/feature-selector

  Feature selector is a tool for dimensionality reduction of machine learning datasets

  Language:Jupyter Notebook2.2k774

• robi56/Deep-Learning-for-Recommendation-Systems

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

  2.8k699

• benfred/implicit

  Fast Python Collaborative Filtering for Implicit Feedback Datasets

  Language:Python3.5k607

• iewaij/introDataScience

  Notes on Data Science. 数理统计、机器学习和数据编程的学习笔记。

  Language:Jupyter Notebook16938

• ImadDabbura/blog-posts

  This repository hosts all the blog posts on machine learning, deep learning and statistical modeling.

  Language:Jupyter Notebook5268

• linyiqun/DataMiningAlgorithm

  数据挖掘18大算法实现以及其他相关经典DM算法

  Language:Java3.8k1.7k

• lijin-THU/notes-python

  中文 Python 笔记

  Language:Jupyter Notebook6.9k2.9k

• apachecn/xgboost-doc-zh

  XGBoost 中文文档

  Language:JavaScript554138

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++25.8k8.7k

• hindupuravinash/nips2017

  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

  890194

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.5k8k

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.6k3.6k

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  15k3.4k

• academic/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  24.2k5.8k

• stephanietang/ImportNew

  Translations for ImportNew

  189