Alternatives and similar repositories for optimizer

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

• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆85Updated last year
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• shikaiqiu / compute-better-spent
  ☆53Updated 9 months ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• EkdeepSLubana / MMC
  Codebase for Mechanistic Mode Connectivity
  ☆15Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• AllanYangZhou / universal_neural_functional
  ☆51Updated last year
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆36Updated 10 months ago
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated 2 years ago
• Bond1995 / Markov
  Code for experiments on transformers using Markovian data.
  ☆17Updated 7 months ago
• locuslab / edge-of-stability
  ☆70Updated 7 months ago
• gregorbachmann / scaling_mlps
  ☆51Updated last year
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆66Updated 9 months ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated 2 years ago
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last year
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆30Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆75Updated 8 months ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆45Updated 2 years ago
• tdooms / bilinear-decomposition
  Official repo for the paper "Weight-based Decomposition: A Case for Bilinear MLPs"
  ☆22Updated 7 months ago
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆24Updated last year
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆62Updated 4 years ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• ppope / dimensions
  Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J
  ☆69Updated last year
• google-research / jax-influence
  ☆60Updated 3 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆77Updated 3 years ago
• lucidrains / pause-transformer
  Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…
  ☆54Updated last year
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆53Updated last year