SegmentationTensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (+38.36%)
Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: ✭ 346 (+373.97%)
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-76.71%)
digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Stars: ✭ 27 (-63.01%)
Kaggle dstl submissionCode for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
Stars: ✭ 159 (+117.81%)
Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Stars: ✭ 572 (+683.56%)
kaggler🏁 API client for Kaggle
Stars: ✭ 50 (-31.51%)
StoreItemDemand(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
Stars: ✭ 24 (-67.12%)
ferFacial Expression Recognition
Stars: ✭ 32 (-56.16%)
HumanOrRobota solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-78.08%)
Kaggle Homedepot3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
Stars: ✭ 452 (+519.18%)
Kaggle CompetitionsThere 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.
Stars: ✭ 86 (+17.81%)
Pytorch SaltnetKaggle | 9th place single model solution for TGS Salt Identification Challenge
Stars: ✭ 270 (+269.86%)
Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
Stars: ✭ 56 (-23.29%)
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 (+115.07%)
kaggleKaggle solutions
Stars: ✭ 17 (-76.71%)
Pytorch ToolbeltPyTorch extensions for fast R&D prototyping and Kaggle farming
Stars: ✭ 942 (+1190.41%)
kaggle-berlinMaterial of the Kaggle Berlin meetup group!
Stars: ✭ 36 (-50.68%)
docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Stars: ✭ 46 (-36.99%)
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 (+3963.01%)
kuzushiji-recognition5th place solution for the Kaggle Kuzushiji Recognition Challenge
Stars: ✭ 41 (-43.84%)
ToxicToxic Comment Classification Challenge
Stars: ✭ 253 (+246.58%)
word2vec-moviesBag of words meets bags of popcorn in Python 3 中文教程
Stars: ✭ 54 (-26.03%)
Kaggle HpaCode for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
Stars: ✭ 226 (+209.59%)
DocuNetCode and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
Stars: ✭ 84 (+15.07%)
Quora QuestionPairs DLKaggle Competition: Using deep learning to solve quora's question pairs problem
Stars: ✭ 54 (-26.03%)
AutoXAutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
Stars: ✭ 431 (+490.41%)
NyaggleCode for Kaggle and Offline Competitions
Stars: ✭ 209 (+186.3%)
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 (-31.51%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (+168.49%)
GIBBONThe Geometry and Image-Based Bioengineering add-On for MATLAB
Stars: ✭ 132 (+80.82%)
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 (+3063.01%)
Deeptoxictop 1% solution to toxic comment classification challenge on Kaggle.
Stars: ✭ 180 (+146.58%)
dku-kaggle-class단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료
Stars: ✭ 48 (-34.25%)