Alternatives and similar repositories for Pitfalls-of-Memorization

Users that are interested in Pitfalls-of-Memorization are comparing it to the libraries listed below

• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• google-research / jax-influence
  ☆63Updated 3 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• VectorInstitute / vectorlm
  LLM finetuning in resource-constrained environments.
  ☆54Updated last year
• Nix07 / finetuning
  This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…
  ☆28Updated last month
• js-d / sim_metric
  ☆37Updated 2 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆138Updated last year
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆88Updated 2 years ago
• srush / do-we-need-attention
  ☆167Updated 2 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated 2 years ago
• RobertCsordas / onion_representations
  ☆12Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• dtsip / in-context-learning
  ☆242Updated last year
• guy-dar / embedding-space
  ☆56Updated 2 years ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated last month
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆63Updated 4 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
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated 2 years ago
• krandiash / quinine
  A library to create and manage configuration files, especially for machine learning projects.
  ☆79Updated 3 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆152Updated 2 years ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 4 years ago
• MadryLab / datamodels
  ☆31Updated 2 years ago
• google-deepmind / emergent_in_context_learning
  ☆85Updated last year
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 3 years ago
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆20Updated last year
• fattorib / Flax-ResNets
  CIFAR10 ResNets implemented in JAX+Flax
  ☆12Updated 3 years ago
• hadasah / btm
  ☆76Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year