bamos / thesisLinks
Differentiable Optimization-Based Modeling for Machine Learning
☆338Updated 5 years ago
Alternatives and similar repositories for thesis
Users that are interested in thesis are comparing it to the libraries listed below
Sorting:
- EE227C (Spring 2018) Course page☆223Updated 4 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆346Updated 3 years ago
- Input Convex Neural Networks☆295Updated 6 years ago
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆543Updated 5 years ago
- The Differentiable Cross-Entropy Method☆123Updated 4 years ago
- A manifold optimization library for deep learning☆248Updated 3 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆418Updated 2 years ago
- ☆275Updated 5 years ago
- A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"☆153Updated 6 years ago
- A fast and differentiable QP solver for PyTorch.☆743Updated 11 months ago
- hessian in pytorch☆187Updated 4 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- Sample implementation of Neural Ordinary Differential Equations☆263Updated 6 years ago
- ☆169Updated last year
- ☆260Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Deep neural network kernel for Gaussian process☆208Updated 4 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 5 months ago
- A differentiable LCP physics engine in PyTorch.☆305Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆405Updated last year
- Pytorch implementation of Augmented Neural ODEs☆543Updated 2 years ago
- Guided Evolutionary Strategies☆271Updated 2 years ago
- ☆214Updated 3 years ago
- Hypergradient descent☆149Updated last year
- A structured list of resources about Sum-Product Networks (SPNs)☆254Updated 4 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆243Updated 4 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆220Updated 4 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆185Updated 11 years ago