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
- Discovering deep embedding spaces for Psychiatric imaging☆16Updated 7 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 8 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆12Updated 7 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- ☆24Updated 9 years ago
- Essay on Hamiltonian Monte Carlo in PyMC3☆14Updated 2 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- Jupyter notebooks and code for Intro to DL talk at Genesys☆14Updated 8 years ago
- ☆13Updated 7 years ago
- Repository for thuijskens.github.io☆11Updated 2 years ago
- Deep Learning DTU summer school 2015☆22Updated 9 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 6 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Homegrown analysis of Prospect Theory: Math, turkers and python =)☆33Updated 10 years ago
- Materials for a course on scikit-learn at ENSAE☆31Updated 8 years ago
- Random fiddling stored in notebooks☆22Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 7 years ago
- ☆74Updated 5 years ago
- MLSP 2014 Schizophrenia Classification Challenge: Winning Model Documentation☆19Updated 10 years ago
- Introduction to PyTorch Workshop at the AMLD 2019☆31Updated 5 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Bayesian Inference Tools in Python☆108Updated last year
- 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
- Reinforcement learning course at Data Science Retreat☆42Updated 5 years ago