Alternatives and similar repositories for fast_feedforward_computation

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

• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• RobertCsordas / linear_layer_as_attention
  The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …
  ☆16Updated 2 months ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆16Updated 5 years ago
• NingMiao / InstaAug
  ☆12Updated 2 years ago
• locuslab / deq-ddim
  ☆62Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 2 years ago
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 3 months ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 2 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• RakitinDen / pytorch-recursive-gumbel-max-trick
  Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
  ☆13Updated 3 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆21Updated 11 months ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆31Updated 2 years ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• apple / ml-agm
  ☆44Updated last year
• hengyuan-hu / jax-vs-pytorch
  ☆12Updated 6 months ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 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
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆60Updated 2 years ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆18Updated 4 years ago
• bdusell / stack-attention
  Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"
  ☆17Updated last year
• ucasligang / awesome-Diffusion
  Reading list for research topics in Diffusion models.
  ☆17Updated last year
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago