wj0600

wj0600's Stars

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  18.1k1.5k

• ncfrey/pumml

  Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised machine learning to classify materials from only positive and unlabeled examples.

  Language:Python3513

• askmrsinh/kibitzer

  Media Recommendations Using Big Data Analytics.

  Language:Scala2

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown125k23.2k

• datasciencescoop/Data-Science-Tutorials

  Data Science Tutorials

  525413

• dennyzhang/cheatsheet.dennyzhang.com

  Apply best practices via CheatSheets

  Language:Shell707384

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• ChenglongChen/tensorflow-DeepFM

  Tensorflow implementation of DeepFM for CTR prediction.

  Language:Python2k808

• ChenglongChen/kaggle-CrowdFlower

  1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

  Language:C++1.8k661

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  305k76.6k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.6k3.9k

• rushter/MLAlgorithms

  Minimal and clean examples of machine learning algorithms implementations

  Language:Python10.7k1.8k

• mratsim/home-credit-default-risk

  Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

  Language:Python7819

• Cirice/4th-place-Home-Credit-Default-Risk

  Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

  Language:Jupyter Notebook3016

• aws/sagemaker-python-sdk

  A library for training and deploying machine learning models on Amazon SageMaker

  Language:Python2.1k1.1k

• garretthoffman/ODSC_East_2019_Deploy_DS_Apps

  Slides and Code Samples for ODSC East 2019 Talk on Deploying Data Science Applications

  Language:Python144

• novicasarenac/tweets-sentiment

  Language:Python2

• Morphl-AI/MorphL-Model-Publishers-Churning-Users

  Google Analytics connector, pre-processor and model for predicting churning users for digital publishers.

  Language:Python106

• dask/dask

  Parallel computing with task scheduling

  Language:Python12.5k1.7k

• goldentom42/py_ml_utils

  Python utilities for Machine Learning competitions

  Language:Python3111

• epochholly/Network-Meta-Analysis-Bayesian-Inference-Multivariate-Random-Effects

  Bayesian Inference for Network Meta-Regression Using Multivariate Random Effects with Applications to Cholesterol Lowering Drugs

  Language:Fortran61

• LeoPetrini/XGBoost-in-Insurance-2017

  Data and Code to reproduce results for my talk at Paris: R in Insurance 2017 Conference

  Language:R1813

• tgsmith61591/skutil

  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

  Language:Python309

• JeromeBlanchet/Modelling-Allstate-Claims-Severity

  Modelling Allstate Claims Severity (June 2017) ⊕

  Language:Jupyter Notebook56

• plantsgo/ijcai-2018

  ijcai-2018 top1 solution

  Language:Jupyter Notebook436132

• sjvasquez/instacart-basket-prediction

  Kaggle | Instacart Market Basket Analysis🥕🥉

  Language:Python498233

• Far0n/kaggle-homesite

  Top15 Model for Kaggle-Competition "Homesite Quote Conversion"

  Language:Python4624

• ScarletPan/Kaggle-Rental-Listing-Inquireies

  Summary of getting a silver medal in kaggle

  Language:Python15067

• diefimov/santander_2016

  The 3rd place solution for Santander Customer Satisfaction competition

  Language:C++12257

• aiidateam/aiida-core

  The official repository for the AiiDA code

  Language:Python433186