205 Open source projects that are alternatives of or similar to kaggler-tv-schedule

Kaggle dogs vs cats solution in Caffe

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Solution to the Outbrain Click Prediction competition

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

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

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

Sample notebooks for Kaggle competitions

Code for Kaggle Competitions

kaggle Dog Breed Identification

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Open solution to the Data Science Bowl 2018

8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)

LAMA - automatic model creation framework

Tensorflow implementation : U-net and FCN with global convolution

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Spark 2.0 Python Machine Learning examples

Kaggle airbus ship detection challenge 21st solution

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

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

Allstate Kaggle Competition ML Capstone Project

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

Code for RECRUIT Challenge. 5th place.

1st place solution

Credit card fraud detection through logistic regression, k-means, and deep learning.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

数据科学竞赛知识、代码、思路

Kaggle Data Science Bowl 2018

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Cryptocurrency Historical Market Data R Package

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

Code for Kaggle-CIFAR10 competition. 5th place.

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

Open solution to the Toxic Comment Classification Challenge

A searchable compilation of Kaggle past solutions

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

9th Place Solution of Kaggle Global Wheat Detection

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

A community run, 5-day PyTorch Deep Learning Bootcamp

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

A collection of useful modules and utilities (especially helpful for kaggling) not available in Pytorch

Comparison tools

Oriented SSD for "Kaggle Airbus Ship Detection Challenge"

top 1% solution to toxic comment classification challenge on Kaggle.

MLBox is a powerful Automated Machine Learning python library.

Code for 3rd place solution in Kaggle Humpback Whale Identification Challenge.

📢 Ready to learn or review your knowledge!

Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.

Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案

Speech commands recognition with PyTorch

Solution for Avito Duplicate Ads Detection competition

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

The repository provides usefull python scripts for ML and data analysis

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

Toxic Comment Classification Challenge

Code for Kaggle and Offline Competitions

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

2nd Place Solution in Kaggle Airbnb New User Bookings competition