Typal-Research / jacobian_free_backprop

Related projects ⓘ

Alternatives and complementary repositories for jacobian_free_backprop

• locuslab / deq-ddim
  ☆61Updated last year
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆27Updated 2 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆90Updated 3 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆49Updated 3 months ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆74Updated 3 years ago
• toshas / sttp
  Spectral Tensor Train Parameterization of Deep Learning Layers
  ☆13Updated 3 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆69Updated 3 months ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆82Updated last year
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆104Updated 5 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆50Updated 2 years ago
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆82Updated 2 years ago
• CACTuS-AI / GlowIP
  Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"
  ☆21Updated 4 years ago
• sony / fp-diffusion
  ☆19Updated 9 months ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 2 years ago
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆41Updated 4 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 2 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆77Updated 6 months ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆27Updated 9 months ago
• KingJamesSong / DifferentiableSVD
  A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…
  ☆69Updated last year
• raymondyeh07 / tv_layers_for_cv
  [CVPR2022] Total Variation Optimization Layers for Computer Vision
  ☆45Updated last year
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆22Updated 11 months ago
• ZongyuGuo / Versatile-NP
  ☆16Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆35Updated last year
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆140Updated 4 years ago
• LituRout / OptimalTransportModeling
  The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
  ☆54Updated 2 years ago
• noamroze / moser_flow
  ☆15Updated 2 years ago