christopherjenness / ML-libLinks
An extensive machine learning library, made from scratch (Python).
☆111Updated 7 years ago
Alternatives and similar repositories for ML-lib
Users that are interested in ML-lib are comparing it to the libraries listed below
Sorting:
- Efficient distributed hyperparameter search library written in Python.☆74Updated 7 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 8 years ago
- All Kaggle competitions☆91Updated 9 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 9 years ago
- ☆49Updated 9 years ago
- Deep learning tutorial for PyData☆85Updated 6 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated last year
- Save keras weight matrices as short animated videos during training☆105Updated 8 years ago
- Introduction to Deep Learning☆126Updated 10 years ago
- ☆78Updated 7 years ago
- TensorBuilder is a TensorFlow library enables you to easily create complex deep neural networks by leveraging the phi DSL to help define …☆90Updated 8 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated 2 years ago
- Introduction to Deep Learning for Image Recognition☆152Updated 9 years ago
- One hour interactive training for ML with scikit-learn☆73Updated 8 years ago
- ☆28Updated 9 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 11 years ago
- Predicting closed questions on Stack Overflow☆44Updated 8 years ago
- My second place solution to the Higgs Boson Machine Learning Challenge☆86Updated 11 years ago
- Various neural networks on MNIST data using TensorFlow library☆16Updated 9 years ago
- Bayesian machine learning in Python☆76Updated 10 years ago
- Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism…☆166Updated 5 years ago
- Tutorial on "Modern Optimization Methods in Python"☆18Updated 9 years ago
- run a multitude of classifiers on you data and get an AUC report☆68Updated last year
- Use any TensorFlow model in a single line of code☆151Updated 7 years ago
- Scikit learn inspired library for gpu-accelerated machine learning☆38Updated 3 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 9 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- A helper library for data science pipeline☆36Updated 6 years ago