BenchmarksComparison tools
Stars: ✭ 139 (+768.75%)
Ml Fraud DetectionCredit card fraud detection through logistic regression, k-means, and deep learning.
Stars: ✭ 117 (+631.25%)
StoreItemDemand(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
Stars: ✭ 24 (+50%)
CryptoCryptocurrency Historical Market Data R Package
Stars: ✭ 112 (+600%)
Deeptoxictop 1% solution to toxic comment classification challenge on Kaggle.
Stars: ✭ 180 (+1025%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (+881.25%)
Artificial Intelligence Deep Learning Machine Learning TutorialsA 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.
Stars: ✭ 2,966 (+18437.5%)
Data Analysis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。
Stars: ✭ 142 (+787.5%)
Fill-the-GAP[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle
Stars: ✭ 13 (-18.75%)
Kaggle HumpbackCode for 3rd place solution in Kaggle Humpback Whale Identification Challenge.
Stars: ✭ 135 (+743.75%)
Kaggle HpaCode for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
Stars: ✭ 226 (+1312.5%)
Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
Stars: ✭ 119 (+643.75%)
Ds bowl 2018Kaggle Data Science Bowl 2018
Stars: ✭ 116 (+625%)
Dog Breeds ClassificationSet of scripts and data for reproducing dog breed classification model training, analysis, and inference.
Stars: ✭ 105 (+556.25%)
fast retrainingShow how to perform fast retraining with LightGBM in different business cases
Stars: ✭ 56 (+250%)
LightgbmA 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.
Stars: ✭ 13,293 (+82981.25%)
docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Stars: ✭ 46 (+187.5%)
kaggle-champsCode for the CHAMPS Predicting Molecular Properties Kaggle competition
Stars: ✭ 49 (+206.25%)
PinsPin, Discover and Share Resources
Stars: ✭ 149 (+831.25%)
ToxicToxic Comment Classification Challenge
Stars: ✭ 253 (+1481.25%)
Quantitative-Big-Imaging-2018(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018
Stars: ✭ 50 (+212.5%)
Kaggle Crowdflower1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
Stars: ✭ 1,708 (+10575%)
KaggleCode for Kaggle Competitions
Stars: ✭ 128 (+700%)
NyaggleCode for Kaggle and Offline Competitions
Stars: ✭ 209 (+1206.25%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (+1125%)
Kaggle HousepricesKaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
Stars: ✭ 113 (+606.25%)
Kaggle Freesound Audio Tagging8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)
Stars: ✭ 111 (+593.75%)
Girls In Ai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
Stars: ✭ 2,309 (+14331.25%)
dku-kaggle-class단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료
Stars: ✭ 48 (+200%)
SegmentationTensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (+531.25%)
ChefboostA 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
Stars: ✭ 176 (+1000%)
D2l EnInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Stars: ✭ 11,837 (+73881.25%)
Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Stars: ✭ 15 (-6.25%)
kaggle-berlinMaterial of the Kaggle Berlin meetup group!
Stars: ✭ 36 (+125%)
AutoXAutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
Stars: ✭ 431 (+2593.75%)
Kaggle-Avito-NNThe 18th Place Solution to Avito Demand Prediction Challenge
Stars: ✭ 25 (+56.25%)