Alternatives and similar repositories for thesis

Users that are interested in thesis are comparing it to the libraries listed below

• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆225Updated 4 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆249Updated 4 years ago
• martius-lab / blackbox-backprop
  Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…
  ☆347Updated 3 years ago
• locuslab / icnn
  Input Convex Neural Networks
  ☆298Updated 6 years ago
• locuslab / optnet
  OptNet: Differentiable Optimization as a Layer in Neural Networks
  ☆551Updated 5 years ago
• locuslab / qpth
  A fast and differentiable QP solver for PyTorch.
  ☆756Updated last year
• google-deepmind / mc_gradients
  ☆170Updated last year
• locuslab / SATNet
  Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
  ☆418Updated 2 years ago
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• brain-research / nngp
  Deep neural network kernel for Gaussian process
  ☆211Updated 5 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆121Updated 5 years ago
• dilinwang820 / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆408Updated last year
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆153Updated 6 years ago
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆123Updated 5 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆389Updated last year
• google-research / ott
  ☆214Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• JSeam2 / Neural-Ordinary-Differential-Equations
  Sample implementation of Neural Ordinary Differential Equations
  ☆262Updated 6 years ago
• locuslab / lcp-physics
  A differentiable LCP physics engine in PyTorch.
  ☆305Updated 4 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 4 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆243Updated 7 months ago
• mlss-2019 / slides
  ☆259Updated 6 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• microsoft / deterministic-variational-inference
  Sample code for running deterministic variational inference to train Bayesian neural networks
  ☆100Updated 6 years ago
• cvxgrp / qcqp
  A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework
  ☆117Updated 5 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆552Updated 2 years ago
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆247Updated 5 years ago
• osqp / osqpth
  The differentiable OSQP solver layer for PyTorch
  ☆63Updated 2 years ago
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆110Updated 3 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆283Updated 3 years ago