Alternatives and similar repositories for tf_fourier_features

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

• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 3 years ago
• scart97 / Siren-fastai2
  Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'
  ☆52Updated 4 years ago
• unixpickle / vae-textures
  Texture mapping with variational auto-encoders
  ☆40Updated 3 years ago
• necludov / iMCMC
  ☆22Updated 4 years ago
• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆110Updated 4 years ago
• zlin7 / CGNet
  ☆69Updated 2 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 4 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 5 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• katalinic / sdflows
  JAX exponential map normalising flows on sphere
  ☆17Updated 4 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆109Updated 2 years ago
• moellenh / flatgan
  PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"
  ☆19Updated 6 years ago
• robintibor / generative-reversible
  ☆32Updated 6 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆83Updated 3 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• facebookresearch / semi-discrete-flow
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆26Updated 2 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆55Updated 4 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆118Updated last year
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 4 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆26Updated 4 years ago
• google-research / fitvid
  ☆66Updated 3 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆22Updated 2 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago