🏅 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
TransGAN: Two Transformers Can Make One Strong GAN

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Pytorch implementation of MixNMatch

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[CVPR'21 Oral] Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning

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An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

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Pytorch implementation of RED-SDS (NeurIPS 2021).

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Release of SPLASH: Dataset for semantic parse correction with natural language feedback in the context of text-to-SQL parsing

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Code for Graph-to-Tree Learning for Solving Math Word Problems (ACL 2020)

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A simple library that implements CLIP guided loss in PyTorch.

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Codebase for the solution that won first place and was awarded the most human-like agent in the 2021 NeurIPS Competition MineRL BASALT Challenge.

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Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

CaloGAN Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks. This repository c

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PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

SLAPS-GNN This repo contains the implementation of the model proposed in SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks

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Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

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Code for the paper "Asymptotics of ℓ2 Regularized Network Embeddings"

README Code for the paper Asymptotics of L2 Regularized Network Embeddings. Requirements Requires Stellargraph 1.2.1, Tensorflow 2.6.0, scikit-learm 0

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ElasticFace: Elastic Margin Loss for Deep Face Recognition

This is the official repository of the paper: ElasticFace: Elastic Margin Loss for Deep Face Recognition Paper on arxiv: arxiv Model Log file Pretrain

Fadi Boutros 113 Dec 14, 2022
Original code for "Zero-Shot Domain Adaptation with a Physics Prior"

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Attila Lengyel 40 Dec 21, 2022
RuDOLPH: One Hyper-Modal Transformer can be creative as DALL-E and smart as CLIP

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Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset

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Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

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