Alternatives and similar repositories for ml-swissknife

Users that are interested in ml-swissknife are comparing it to the libraries listed below

• apple / ml-reversal-blessing
  ☆18Updated 5 months ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• google-deepmind / ssl_hsic
  ☆39Updated last year
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆32Updated 2 years ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated 2 years ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆87Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• srush / LLM-Talk
  ☆53Updated last year
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆20Updated 11 months ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• ahennequ / pytorch-custom-mma
  ☆29Updated 3 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• gregorbachmann / scaling_mlps
  ☆52Updated last year
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated 2 years ago
• prateeky2806 / ComPEFT
  ☆26Updated 2 years ago
• shikaiqiu / compute-better-spent
  ☆62Updated last year
• pytorch / maskedtensor
  MaskedTensors for PyTorch
  ☆38Updated 3 years 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…
  ☆40Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆20Updated last year
• facebookresearch / LAWT
  Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
  ☆76Updated last year
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆29Updated last year
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated 2 years ago
• google-research / interpretability-theory
  ☆27Updated 2 years ago
• mlfoundations / dataset2metadata
  ☆27Updated last year
• js-d / sim_metric
  ☆37Updated 2 years ago