shuyao95 / kddcup2019-automlLinks
Code for KDD CUP 2019 Auto-ML track
☆21Updated 6 years ago
Alternatives and similar repositories for kddcup2019-automl
Users that are interested in kddcup2019-automl are comparing it to the libraries listed below
Sorting:
- The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.☆15Updated 5 years ago
- Our solutions for KDDCup2019 as team "admin"☆14Updated 6 years ago
- ☆31Updated 6 years ago
- AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…☆114Updated 6 years ago
- Facilitate the learning, practicing, and designing of neural text matching models with a user-friendly and interactive interface.☆41Updated 3 years ago
- convert DataFrame to libffm data format in parallel☆30Updated 7 years ago
- An open source python library for automated prediction engineering☆45Updated 6 months ago
- 思维误区: 用理想模型来思考复杂现实问题☆39Updated 5 years ago
- AdaBound optimizer in Keras☆56Updated 5 years ago
- RAdam optimizer for keras☆71Updated 6 years ago
- CCF-基金间的相关性预测比赛-TOP6☆15Updated 7 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 5 years ago
- This project contains several Deep Reinforcement Learning method and some experiments basd on OpenAi gym.☆19Updated 7 years ago
- Context-sensitive ranking and choice in Python with PyTorch☆67Updated 2 years ago
- Deep learning for time-varying multi-entity datasets☆17Updated 7 years ago
- Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition☆31Updated 7 years ago
- ☆74Updated 7 years ago
- Tensorflow implementation of transformer network from "Attention is all you need" Paper. Also use cases of it!☆16Updated 5 years ago
- Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)☆70Updated 3 years ago
- Keras implement of Lazy optimizer☆21Updated 6 years ago
- BERT Extension in TensorFlow☆30Updated 6 years ago
- kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting☆16Updated 8 years ago
- 使用Python复现SIGKDD2017的PAMAE算法(并行k-medoids算法)/The Python implementation of SIGKDD 2017's PAMAE algorithm (parallel k-medoids algorithm)☆33Updated 6 years ago
- ☆18Updated 7 years ago
- comment_toxic☆14Updated 7 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 7 years ago
- Collection of TensorFlow Examples☆37Updated 7 years ago
- A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.☆18Updated 5 years ago
- ☆22Updated 7 years ago
- Examples of how to do feature engineering and Xgboost parameter tuning☆48Updated 9 years ago