asolin / MLSP2014-kaggle-challengeLinks
MLSP 2014 Schizophrenia Classification Challenge: Winning Model Documentation
☆19Updated 11 years ago
Alternatives and similar repositories for MLSP2014-kaggle-challenge
Users that are interested in MLSP2014-kaggle-challenge are comparing it to the libraries listed below
Sorting:
- Spinal cord gray matter segmentation using deep dilated convolutions.☆45Updated 7 years ago
- ☆42Updated 11 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆19Updated 7 years ago
- ☆12Updated 9 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 8 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 9 years ago
- ☆13Updated 8 years ago
- Material for the Advanced Scientific Programming in Python course on data visualization☆17Updated 7 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 3 years ago
- Deep Learning DTU summer school 2015☆23Updated 9 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 11 years ago
- Sandbox for generating visualizations of the bias-variance tradeoff for Machine Learning at Berkeley's blog.☆13Updated 8 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆27Updated 7 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Materials for UC Berkeley Neuroscience 299☆53Updated 6 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 9 years ago
- Introduction to PyTorch Workshop at the AMLD 2019☆31Updated 6 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆70Updated 8 years ago
- Bayesian Neural Networks☆43Updated 10 years ago
- Structured Machine Learning in Python☆46Updated 2 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 7 years ago
- An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017☆69Updated 8 years ago
- Dimensionality reduction for binary data☆51Updated 5 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- Content associated with a PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons using pandas☆15Updated 8 years ago
- An interactive web-based neuroscience app for analyzing task-related functional networks over time and frequency☆37Updated 3 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago