Imperial-College-Data-Science-Society / Lecture-3-Linear-ModelsLinks
ICDSS Machine Learning Workshop Series: Linear Models
☆19Updated 5 years ago
Alternatives and similar repositories for Lecture-3-Linear-Models
Users that are interested in Lecture-3-Linear-Models are comparing it to the libraries listed below
Sorting:
- ICDSS Machine Learning Workshop Series: Neural Networks☆17Updated 7 years ago
- Progress, Notes, Summaries and a lot of Questions on Machine Learning☆55Updated 5 years ago
- Curated materials for different machine learning related summer schools☆19Updated 4 years ago
- LaTeX source code for the slides☆23Updated 4 years ago
- Sequential Monte Carlo sampler for PyMC2 models.☆13Updated 7 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 6 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…☆18Updated 7 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Updated 6 years ago
- Lab assignments for the Deep Learning course at the University of Amsterdam☆20Updated 6 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 6 years ago
- ☆11Updated 3 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
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆21Updated 4 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Lecture Notes (with exercises) for Basic Probability course at University of Amsterdam☆18Updated 6 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.☆13Updated 2 years ago
- Talks from Neil Lawrence☆54Updated last year
- Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update☆75Updated 8 months ago
- Understanding RL vision Distill article☆23Updated 2 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Updated 2 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 4 years ago
- ☆12Updated 8 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- My homepage☆14Updated last month