amueller / mlss_2015Links
Material for open source machine learning practical
☆21Updated 10 years ago
Alternatives and similar repositories for mlss_2015
Users that are interested in mlss_2015 are comparing it to the libraries listed below
Sorting:
- Predicting sales with Pandas☆15Updated 9 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 9 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- ☆25Updated 9 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 7 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 8 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 9 years ago
- A neural network library based on tensorflow and with true sklearn compatibility.☆11Updated 9 years ago
- Explore different deep-learning frameworks☆18Updated 7 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- Various neural networks on MNIST data using TensorFlow library☆16Updated 9 years ago
- Rectified Factor Networks☆37Updated 6 years ago
- Deep learning for hackers: a hands-on approach to machine learning and deep learning.☆67Updated 10 years ago
- A quick educational implementation of a random forest classifier and a decsion jungle classifier.☆28Updated 10 years ago
- code for the Whale Detection Challenge competition on Kaggle☆39Updated 12 years ago
- ☆44Updated 10 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 10 years ago
- Deep learning tutorial for PyData☆85Updated 6 years ago
- Winning solution scripts☆53Updated 8 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago
- ☆58Updated 9 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated 2 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Utilities for nolearn.lasagne☆21Updated 8 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- ☆49Updated 9 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Updated 9 years ago
- DLBook Builder☆44Updated 9 years ago