dangeng / bias-variance-tradeoff
Sandbox for generating visualizations of the bias-variance tradeoff for Machine Learning at Berkeley's blog.
☆14Updated 7 years ago
Alternatives and similar repositories for bias-variance-tradeoff:
Users that are interested in bias-variance-tradeoff are comparing it to the libraries listed below
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆12Updated 7 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 8 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Discovering deep embedding spaces for Psychiatric imaging☆16Updated 7 years ago
- Introduction to PyTorch Workshop at the AMLD 2019☆31Updated 5 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- ☆24Updated 8 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- ☆64Updated 6 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆45Updated 4 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- MLSP 2014 Schizophrenia Classification Challenge: Winning Model Documentation☆19Updated 10 years ago
- Twitterbot that uses machine learning to curate interesting arXiv papers☆43Updated 6 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- Random fiddling stored in notebooks☆22Updated 7 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Tutorial on interpreting and understanding machine learning models☆68Updated 6 years ago
- Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard☆33Updated 6 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 6 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆23Updated 3 years ago
- A simple adversarial attack on a linear model☆21Updated 5 years ago
- Linear Model with Tree-Based Lasso Regularization for Rare Feature Selection☆10Updated 3 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago