abhishekkrthakur / automl_gpu
☆25Updated 9 years ago
Alternatives and similar repositories for automl_gpu:
Users that are interested in automl_gpu are comparing it to the libraries listed below
- A helper library for data science pipeline☆36Updated 6 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- Kaggle competition results☆20Updated 6 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- ☆15Updated 9 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- ☆26Updated 9 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge☆21Updated 7 years ago
- Homesite Kaggle☆30Updated 9 years ago
- Healthcare Twitter Analysis☆26Updated 9 years ago
- My solution for Kagge Allen AI Challenge ( 3rd place )☆19Updated 9 years ago
- the 2nd place solution for West Nile Virus Prediction challenge on Kaggle☆36Updated 9 years ago
- ☆49Updated 7 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 4 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- ☆29Updated 7 years ago
- Amazon access control challenge☆25Updated 10 years ago
- Document or binary file vectorization with Normalized Compression Distance in Python.☆17Updated 9 years ago
- Visual Question Answering system's different implementations☆10Updated 8 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 10 years ago
- Jupyter notebooks and code for Intro to DL talk at Genesys☆14Updated 8 years ago
- Material for open source machine learning practical☆21Updated 9 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago