mcallester / ttic-31230
☆33Updated 4 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
- ☆42Updated 3 years ago
- A tutorial on JAX (https://github.com/google/jax/)☆46Updated 6 years ago
- ☆108Updated 2 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 3 years ago
- Probabilistic Graphical Models in JAX☆14Updated 2 years ago
- An introduction to functional programming for scalable statistical computing☆74Updated 9 months ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆58Updated 5 years ago
- Utilities for probabilistic ML☆34Updated last year
- Random feature latent variable models in Python☆22Updated last year
- This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.☆16Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Comments on the Nature of Being a Graduate Student☆41Updated 2 years ago
- ☆102Updated 10 months ago
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆81Updated last year
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆53Updated 4 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Bayesian Bandits☆68Updated last year
- Rust library for indexing and quickly searching large pretraining corpora☆26Updated last week
- ☆28Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆74Updated this week
- Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)☆18Updated last year
- Image augmentation library for Jax☆39Updated last year
- The Recognizing, Exploring, and Articulating Limitations in Machine Learning research tool (REAL ML) is a set of guided activities to hel…☆51Updated 2 years ago
- ☆30Updated 3 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 3 years ago
- ☆33Updated 4 years ago