🏅 The Most Comprehensive List of Kaggle Solutions and Ideas 🏅

Overview

The Most Comprehensive List of Kaggle Solutions and Ideas

OverviewUsageSuggestionContribution


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
▪Predoctoral fellow at the National Cancer Institute ▪PhD student at the Indiana University
Farid Rashidi
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Code for EMNLP 2021 paper: "Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training"

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Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism

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Using OpenAI's CLIP to upscale and enhance images

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Parameterising Simulated Annealing for the Travelling Salesman Problem

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Code for Domain Adaptive Video Segmentation via Temporal Consistency Regularization in ICCV 2021

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CVPR2021: Temporal Context Aggregation Network for Temporal Action Proposal Refinement

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Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping

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Use .csv files to record, play and evaluate motion capture data.

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YOLOX-CondInst - Implement CondInst which is a instances segmentation method on YOLOX

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Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.

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