πŸ… The Most Comprehensive List of Kaggle Solutions and Ideas πŸ…

Overview

The Most Comprehensive List of Kaggle Solutions and Ideas

Overview β€’ Usage β€’ Suggestion β€’ Contribution


Overview

This repo consists of almost all available solutions and ideas shared by top performers in the past Kaggle competitions. This list gets updated as soon as a new competition finishes. It allows you to search over the Kaggle past competitions solutions and ideas.

Usage

What you only need to do is fork the repo. Then it automatically comes to your Github website to which you can access https://.github.io/kaggle-solutions. After that you would be able to start learning form the past solutions of each competitions and take a note in markdown language.

Suggestion

If you want to learn a lot from the past competitions, try carefully read the followings for every single competition:

  • Description (Task)
  • Evaluation (Metric)
  • Data
  • Check top performers' profile in Leaderboard
  • Most voted Discussion
  • Most voted Kernels

Contribution

If you find other solutions beside the ones listed here I would suggest you to contribute to this repo by making a pull request.

Owner
Farid Rashidi
β–ͺPredoctoral fellow at the National Cancer Institute β–ͺPhD student at the Indiana University
Farid Rashidi
Generate image analogies using neural matching and blending

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Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system

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Pytorch implementation for our ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering".

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Official pytorch code for "APP: Anytime Progressive Pruning"

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Landskape AI 12 Nov 22, 2022
Realtime segmentation with ENet, the fast and accurate segmentation net.

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Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

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Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

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Jianfei Guo 682 Jan 04, 2023
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.

Pretrain-Recsys This is our Tensorflow implementation for our WSDM 2021 paper: Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen. Pre-Training

30 Nov 14, 2022
Simple data balancing baselines for worst-group-accuracy benchmarks.

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

Meta Research 29 Dec 02, 2022
GrailQA: Strongly Generalizable Question Answering

GrailQA is a new large-scale, high-quality KBQA dataset with 64,331 questions annotated with both answers and corresponding logical forms in different syntax (i.e., SPARQL, S-expression, etc.). It ca

OSU DKI Lab 76 Dec 21, 2022
PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence) and pre-trained model on ImageNet dataset

Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin

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NaturalCC is a sequence modeling toolkit that allows researchers and developers to train custom models

NaturalCC NaturalCC is a sequence modeling toolkit that allows researchers and developers to train custom models for many software engineering tasks,

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DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene.

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.

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Medical-Image-Triage-and-Classification-System-Based-on-COVID-19-CT-and-X-ray-Scan-Dataset

Medical-Image-Triage-and-Classification-System-Based-on-COVID-19-CT-and-X-ray-Sc

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Convenient tool for speeding up the intern/officer review process.

icpc-app-screen Convenient tool for speeding up the intern/officer applicant review process. Eliminates the pain from reading application responses of

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Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)

CCAM (Unsupervised) Code repository for our paper "CCAM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localizati

Computer Vision Insitute, SZU 113 Dec 27, 2022
This is an official PyTorch implementation of Task-Adaptive Neural Network Search with Meta-Contrastive Learning (NeurIPS 2021, Spotlight).

NeurIPS 2021 (Spotlight): Task-Adaptive Neural Network Search with Meta-Contrastive Learning This is an official PyTorch implementation of Task-Adapti

Wonyong Jeong 15 Nov 21, 2022
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YOLOv5 πŸš€ is a family of object detection architectures and models pretrained on the COCO dataset

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Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

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