Alternatives and similar repositories for pizza:

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

• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆53Updated last year
• locuslab / edge-of-stability
  ☆63Updated last month
• ejmichaud / grokking-squared
  ☆24Updated last year
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆54Updated last year
• GFNOrg / GFN_vs_HVI
  ☆9Updated last year
• GFNOrg / gfn-diffusion
  ☆23Updated 4 months ago
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated last year
• snap-stanford / zeroc
  ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…
  ☆30Updated last year
• RobertCsordas / onion_representations
  ☆11Updated 5 months ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆44Updated last year
• Silent-Zebra / twisted-smc-lm
  ☆24Updated last week
• yjhuangcd / CNNF
  Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).
  ☆22Updated 4 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆61Updated 2 years ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆59Updated 2 years ago
• YiteWang / NTK-SAP
  [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics
  ☆18Updated last year
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆54Updated last year
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆30Updated 5 months ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆35Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated 11 months ago
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆18Updated 2 years ago
• Awni00 / abstractor
  This is the code repository associated with the paper "Abstractors and relational cross-attention: An inductive bias for explicit relati…
  ☆14Updated 5 months ago
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆52Updated last year
• maxwshen / gflownet
  ☆15Updated last year
• AndPotap / einsum-search
  ☆29Updated 3 months ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆81Updated last year
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆70Updated 2 years ago
• jiahai-feng / binding-iclr
  ☆12Updated 10 months ago
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆16Updated last year