Alternatives and similar repositories for ebm-torch:

Users that are interested in ebm-torch are comparing it to the libraries listed below

• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆31Updated 4 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆15Updated 3 years ago
• bjader / QSSL
  Code for Quantum Self-Supervised Learning
  ☆17Updated 2 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 5 months ago
• mcbal / deep-implicit-attention
  Implementation of deep implicit attention in PyTorch
  ☆63Updated 3 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆43Updated 3 years ago
• n-gao / pytorch-kfac
  Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
  ☆22Updated 7 months ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 3 years ago
• teddykoker / learning-to-learn-jax
  JAX implementation of Learning to learn by gradient descent by gradient descent
  ☆26Updated 3 months ago
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆29Updated last year
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆35Updated 2 years ago
• google-deepmind / flows_for_atomic_solids
  ☆48Updated 2 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆86Updated 2 years ago
• adrienbolens / reinforcement-learning-and-quantum-simulations
  Reinforcement learning applied to digital quantum simulations
  ☆19Updated 5 years ago
• peerdavid / layerwise-batch-entropy
  Layerwise Batch Entropy Regularization
  ☆22Updated 2 years ago
• random-matrix-learning / random-matrix-learning.github.io
  Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning
  ☆15Updated 3 years ago
• akandykeller / SelfNormalizingFlows
  ☆67Updated 2 years ago
• aspuru-guzik-group / Meta-VQE
  Meta-VQE data and examples repository
  ☆9Updated 4 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• facebookresearch / semi-discrete-flow
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆24Updated 2 years ago
• facebookresearch / LAWT
  Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
  ☆64Updated 5 months ago
• janosh / torch-mnf
  Multiplicative Normalizing Flows in PyTorch.
  ☆23Updated last week
• takerum / meta_sequential_prediction
  ☆18Updated last year
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆34Updated 11 months ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago
• LCS2-IIITD / TransEvolve
  ☆11Updated 3 years ago