Alternatives and similar repositories for autocast

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

• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆132Updated last year
• guy-dar / embedding-space
  ☆55Updated 2 years ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆78Updated last year
• 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
• HazyResearch / domino
  ☆139Updated 2 years ago
• causalNLP / cladder
  We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
  ☆132Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago
• vinid / NegotiationArena
  ☆79Updated last year
• collin-burns / discovering_latent_knowledge
  ☆282Updated last year
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆79Updated 3 years ago
• EleutherAI / elk
  Keeping language models honest by directly eliciting knowledge encoded in their activations.
  ☆212Updated last week
• google-research / cascades
  Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference…
  ☆215Updated 5 months ago
• MadryLab / EditingClassifiers
  ☆96Updated 3 years ago
• likenneth / othello_world
  Emergent world representations: Exploring a sequence model trained on a synthetic task
  ☆191Updated 2 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated last week
• KaiNylund / lm-weights-encode-time
  ☆69Updated last year
• hundredblocks / large-model-parallelism
  Functional local implementations of main model parallelism approaches
  ☆96Updated 2 years ago
• EleutherAI / concept-erasure
  Erasing concepts from neural representations with provable guarantees
  ☆238Updated 9 months 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
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• csinva / iprompt
  Finding semantically meaningful and accurate prompts.
  ☆48Updated 2 years ago
• YilunZhou / ExSum
  Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"
  ☆64Updated 3 years ago
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆162Updated last year
• r-three / git-theta
  git extension for {collaborative, communal, continual} model development
  ☆215Updated last year
• srush / do-we-need-attention
  ☆166Updated 2 years ago
• ruiqi-zhong / D5
  The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions
  ☆71Updated 2 years ago