Alternatives and similar repositories for PPL-MCTS

Users that are interested in PPL-MCTS are comparing it to the libraries listed below

• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆136Updated last year
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆75Updated 10 months ago
• EleutherAI / improved-t5
  Experiments for efforts to train a new and improved t5
  ☆76Updated last year
• CarperAI / autocrit
  A repository for transformer critique learning and generation
  ☆90Updated last year
• hadasah / btm
  ☆74Updated last year
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆161Updated last year
• kernelmachine / cbtm
  Code repository for the c-BTM paper
  ☆106Updated last year
• LauraRuis / do-pigs-fly
  ☆19Updated last year
• tianjunz / HIR
  ☆159Updated 2 years ago
• nouhadziri / faith-and-fate
  ☆34Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆43Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• UKPLab / on-emergence
  Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning
  ☆33Updated 6 months ago
• naver / disco
  A Toolkit for Distributional Control of Generative Models
  ☆73Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆97Updated last year
• bminixhofer / zett
  Code for Zero-Shot Tokenizer Transfer
  ☆133Updated 6 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆81Updated 3 years ago
• babylm / evaluation-pipeline-2023
  Evaluation pipeline for the BabyLM Challenge 2023.
  ☆76Updated last year
• seonghyeonye / Flipped-Learning
  [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  ☆116Updated 2 weeks ago
• upiterbarg / lintseq
  [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)
  ☆19Updated 5 months ago
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆56Updated last year
• Sea-Snell / Implicit-Language-Q-Learning
  Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
  ☆208Updated last year
• google-deepmind / emergent_in_context_learning
  ☆84Updated 11 months ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• ZurichNLP / mbr
  Minimum Bayes Risk Decoding for Hugging Face Transformers
  ☆58Updated last year
• lee-ny / teaching_arithmetic
  ☆83Updated last year
• microsoft / RLHF-APA
  RL algorithm: Advantage induced policy alignment
  ☆65Updated last year
• tau-nlp / scrolls
  The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".
  ☆70Updated last year
• zphang / minimal-opt
  ☆67Updated 2 years ago
• shayne-longpre / a-pretrainers-guide
  ☆72Updated 2 years ago