Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].

https://www.kaggle.com/c/humpback-whale-identification

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton

Open solution to the Toxic Comment Classification Challenge

Source code for the paper A Memory-Augmented Neural Model for Automated Grading

Tensorflow implementation : U-net and FCN with global convolution

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)

Wheat Detection challenge on Kaggle

Kaggle | 21st place solution for TGS Salt Identification Challenge

Kaggle | 14th place solution for TGS Salt Identification Challenge

goto_conversion - Used by 4+ Gold Medal Solutions on Kaggle

Open solution to the Airbus Ship Detection Challenge

Kaggle Competition: Using deep learning to solve quora's question pairs problem

The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.

This is the solution for 2nd rank in Kaggle competition: Feedback Prize - Evaluating Student Writing.