mcallester / ttic-31230
☆33Updated 2 months ago
Alternatives and similar repositories for ttic-31230:
Users that are interested in ttic-31230 are comparing it to the libraries listed below
- Silly twitter torch implementations.☆46Updated 2 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆47Updated 3 years ago
- ☆42Updated 3 years ago
- An introduction to functional programming for scalable statistical computing☆73Updated 7 months ago
- ☆108Updated 2 years ago
- ☆30Updated 3 years ago
- ☆33Updated 4 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- ☆85Updated 4 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆50Updated last year
- Collection of academic works in natural language processing, computational linguistics, and computational cognitive science that study th…☆16Updated 11 months ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆16Updated 3 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆43Updated 5 years ago
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆26Updated 3 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated 6 months ago
- Tutorials and sampling algorithm comparisons☆70Updated this week
- A tutorial on JAX (https://github.com/google/jax/)☆46Updated 6 years ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆51Updated 4 years ago
- Repository of models in Pyro☆29Updated 6 months ago
- Gaussian-Bernoulli Restricted Boltzmann Machines☆102Updated 2 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated last year
- Inference Combinators in JAX☆46Updated 3 months ago
- Comments on the Nature of Being a Graduate Student☆40Updated 2 years ago
- Bayesian Bandits☆68Updated last year
- Random feature latent variable models in Python☆22Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 3 months ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆262Updated last year