Alternatives and similar repositories for SetLexSem-Challenge

Users that are interested in SetLexSem-Challenge are comparing it to the libraries listed below

• seharanul17 / synthetic-tabular-LLM
  ☆15Updated last year
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆20Updated last year
• SuReLI / NeurOps
  Implementations of growing and pruning in neural networks
  ☆22Updated 2 years ago
• formll / resolving-scaling-law-discrepancies
  ☆20Updated 3 months ago
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆41Updated last year
• hgaurav2k / JEEBench
  Repository for the code and dataset for the paper: "Have LLMs Advanced enough? Towards Harder Problem Solving Benchmarks For Large Langu…
  ☆39Updated 2 years ago
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆38Updated 2 years ago
• Confirm-Solutions / dreamy
  Fluent dreaming for language models
  ☆13Updated last year
• frankaging / Causal-Distill
  The Codebase for Causal Distillation for Language Models (NAACL '22)
  ☆26Updated 3 years ago
• ctlllll / understanding_llm_benchmarks
  Understanding the correlation between different LLM benchmarks
  ☆29Updated 2 years ago
• RomanPlaud / revisitingHTC
  Revisiting Hierarchical Text Classification : Inference and Metrics
  ☆16Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• lucidrains / esbn-transformer
  An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols
  ☆16Updated 4 years ago
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated 2 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated 2 years ago
• eth-easl / fmengine
  Utilities for Training Very Large Models
  ☆58Updated last year
• allenai / beaker-py
  A pure-Python Beaker client
  ☆17Updated 3 months ago
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated last year
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated 2 months ago
• MurtyShikhar / LanguagePatching
  Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"
  ☆19Updated 3 years ago
• stanford-crfm / helm-efficiency
  ☆10Updated 2 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆49Updated last year
• MurtyShikhar / structural-grokking
  Code for our ACL '23 paper titled "Grokking of Hierarchical Structure in Vanilla Transformers"
  ☆24Updated 2 years ago
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• HazyResearch / embroid
  Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
  ☆11Updated 2 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆61Updated 3 years ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated 2 years ago
• Lizn-zn / Nesy-Programming
  ☆10Updated last year