tensorchiefs / dl_course_2020Links
The 2020 Version of the Deep Learning Course
☆8Updated 5 years ago
Alternatives and similar repositories for dl_course_2020
Users that are interested in dl_course_2020 are comparing it to the libraries listed below
Sorting:
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 6 years ago
- Python skeleton code for assignments of Probabilistic Graphical Models course on Coursera.☆8Updated 3 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 3 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 5 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- ☆12Updated 3 years ago
- Bayesian Bandits☆68Updated last year
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Talks about vaex☆36Updated 2 years ago
- Recurrent Neural Networks for Timeseries☆24Updated 5 years ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated 5 years ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 6 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Pre-processing Approaches for Imbalanced Distributions in Regression☆12Updated 4 years ago
- Libraries for Scientific Computing☆10Updated 6 years ago
- ☆14Updated 2 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Updated 2 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- Representation Learning with Deconvolutional Networks for Multivariate Time Series☆12Updated 9 years ago
- This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition☆12Updated 6 years ago
- Talks from Neil Lawrence☆54Updated last year
- Repo for PyData 2018 tuorial☆12Updated 6 years ago