neonwatty / control-notesLinks
Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning
☆21Updated 10 months ago
Alternatives and similar repositories for control-notes
Users that are interested in control-notes are comparing it to the libraries listed below
Sorting:
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆71Updated last month
- Talks from Neil Lawrence☆54Updated last year
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 5 years ago
- Supporting material for Princeton ORF522☆14Updated 2 months ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆54Updated 3 years ago
- legend☆209Updated 2 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Updated 2 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Neat Bayesian machine learning examples☆58Updated this week
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆114Updated 7 months ago
- TensorFlow Probability Tutorial☆37Updated 6 years ago
- ☆87Updated 2 years ago
- Codes for 'Stationary Activations for Uncertainty Calibration in Deep Learning' (NeurIPS 2020)☆11Updated 5 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 5 years ago
- Foundations and Applications☆100Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- ☆51Updated last year
- [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…☆11Updated 2 years ago
- Materials for Bayesian Methods in Machine Learning Course☆90Updated last week
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- Adaptive MCMC and CMA-ES Python code☆14Updated 6 years ago
- ☆276Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆94Updated 2 years ago
- ☆25Updated 3 years ago