Alternatives and similar repositories for neuralteleportation:

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

• ganguli-lab / degrees-of-freedom
  ☆36Updated 3 years ago
• mfinzi / residual-pathway-priors
  ☆18Updated 3 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 4 years ago
• ermongroup / self-similarity-prior
  Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
  ☆27Updated 2 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆19Updated 2 years ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆24Updated 3 years ago
• danieljtait / ladax
  Layered distributions using FLAX/JAX
  ☆10Updated 4 years ago
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 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
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆35Updated 3 years ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• f-dangel / einconv
  Convolutions and more as einsum for PyTorch
  ☆14Updated 8 months ago
• mattjj / ode-diff-notes
  ☆12Updated 4 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• LCS2-IIITD / TransEvolve
  ☆11Updated 3 years ago
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆31Updated 3 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆23Updated 3 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• google-research / wide-sparse-nets
  ☆19Updated 3 years ago
• lawrennd / neurips2014
  Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.
  ☆11Updated 8 months ago
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• kachayev / dataclasses-tensor
  Easily serialize dataclasses to and from tensors (PyTorch, NumPy)
  ☆18Updated 3 years ago
• cornellius-gp / linear_operator.old
  A LinearOperator implementation for PyTorch
  ☆18Updated 4 years ago
• catid / dataloader
  High-performance tokenized language data-loader for Python C++ extension
  ☆12Updated 6 months ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆12Updated 10 months ago
• fsschneider / cockpit-experiments
  Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"
  ☆13Updated 3 years ago
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated 10 months ago