bamos / thesisLinks
Differentiable Optimization-Based Modeling for Machine Learning
☆343Updated 6 years ago
Alternatives and similar repositories for thesis
Users that are interested in thesis are comparing it to the libraries listed below
Sorting:
- A manifold optimization library for deep learning☆249Updated 4 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆347Updated 3 years ago
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆563Updated 5 years ago
- EE227C (Spring 2018) Course page☆225Updated 4 years ago
- A fast and differentiable QP solver for PyTorch.☆767Updated last year
- Input Convex Neural Networks☆303Updated 6 years ago
- The Differentiable Cross-Entropy Method☆124Updated 5 years ago
- ☆171Updated last year
- ☆276Updated 5 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆248Updated last month
- A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"☆153Updated 6 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆409Updated last year
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆421Updated 2 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆278Updated 6 years ago
- ☆260Updated 6 years ago
- hessian in pytorch☆187Updated 5 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- The differentiable OSQP solver layer for PyTorch☆64Updated 2 years ago
- A differentiable LCP physics engine in PyTorch.☆308Updated 4 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- ☆214Updated 3 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 6 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆390Updated last year
- A structured list of resources about Sum-Product Networks (SPNs)☆255Updated 4 years ago
- Sample implementation of Neural Ordinary Differential Equations☆264Updated 6 years ago
- Guided Evolutionary Strategies☆272Updated 2 years ago
- Differentiation through cone programs☆108Updated 3 months ago
- Understanding ML and deep learning through geometry☆157Updated 3 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 3 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago