davidrosenberg / ml2019Links
DS-GA 1003: Machine Learning Course Webpage
☆15Updated 2 years ago
Alternatives and similar repositories for ml2019
Users that are interested in ml2019 are comparing it to the libraries listed below
Sorting:
- DSGA-1003: Machine Learning and Computational Statistics, Spring 2018☆26Updated 2 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆21Updated 7 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and relate…☆54Updated last year
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 9 years ago
- Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty☆14Updated 7 years ago
- STATS385 course website☆89Updated 2 years ago
- Code and data for SciPy 2018 talk on missing data☆21Updated 7 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube☆65Updated 6 years ago
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated 2 years ago
- ☆38Updated 4 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- ☆29Updated 3 months ago
- Collection of PyTorch-related utility functions☆29Updated 6 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 8 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- ☆42Updated 7 years ago
- BUS 41204: Machine Learning -- Winter 2016☆11Updated 8 years ago
- Introduction to Python for Data Science☆39Updated 7 years ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 7 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 7 years ago
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆18Updated 7 years ago