Alternatives and similar repositories for optimizer:

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

• shikaiqiu / compute-better-spent
  ☆52Updated 6 months ago
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• AllanYangZhou / universal_neural_functional
  ☆49Updated last year
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆82Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆22Updated last year
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆47Updated 5 months ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• bartbussmann / matryoshka_sae
  ☆30Updated 2 months ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆59Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆18Updated 9 months ago
• rahul13ramesh / compositional_capabilities
  Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
  ☆10Updated 9 months ago
• r-three / mats
  ☆29Updated 9 months ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆27Updated 10 months ago
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated last year
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated last year
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• tdooms / bilinear-decomposition
  Official repo for the paper "Weight-based Decomposition: A Case for Bilinear MLPs"
  ☆20Updated 4 months ago
• noranta4 / ASIF
  Personal implementation of ASIF by Antonio Norelli
  ☆25Updated 10 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆62Updated last year
• berlino / seq_icl
  ☆51Updated 10 months ago
• EkdeepSLubana / MMC
  Codebase for Mechanistic Mode Connectivity
  ☆13Updated last year
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆65Updated 6 months ago
• ejmichaud / grokking-squared
  ☆25Updated 2 years ago
• google-research / jax-influence
  ☆60Updated 3 years ago
• aadityasingh / icl-dynamics
  ☆19Updated last month