AI-at-MIT / Reading-GroupsLinks
MIT MIC Reading Groups
☆16Updated 4 years ago
Alternatives and similar repositories for Reading-Groups
Users that are interested in Reading-Groups are comparing it to the libraries listed below
Sorting:
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated 2 years ago
- Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" …☆26Updated 3 years ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆268Updated 4 months ago
- ☆33Updated 4 years ago
- Neural network verification in JAX☆144Updated 2 years ago
- ☆105Updated 3 weeks ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- Code for the paper 'Neural Variational Gradient Descent'. We perform nonparametric variational inference by transporting samples along a …☆12Updated 4 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Learning some numerical linear algebra.☆72Updated 5 years ago
- Methods to soundly verify deep neural networks☆235Updated 8 months ago
- ☆80Updated 4 years ago
- Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights☆28Updated 5 years ago
- A JAX implementation of stochastic addition.☆14Updated 3 years ago
- ☆141Updated 3 weeks ago
- Normalizing Flows using JAX☆86Updated 2 years ago
- Research package for automatic differentiation of programs containing discrete randomness.☆216Updated 9 months ago
- ☆21Updated this week
- ☆21Updated 3 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 4 years ago
- This repository contains the Julia code for the paper "Competitive Gradient Descent"☆25Updated 6 years ago
- ☆30Updated 4 years ago
- Probabilistic Circuits from the Juice library☆106Updated last year
- ☆24Updated 6 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Code for: Implicit Competitive Regularization in GANs☆116Updated 3 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 years ago
- ☆100Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year