Alternatives and similar repositories for architecture-objective

Users that are interested in architecture-objective are comparing it to the libraries listed below

• martiansideofthemoon / rankgen
  Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…
  ☆136Updated 2 years ago
• naver / gdc
  Code accompanying our papers on the "Generative Distributional Control" framework
  ☆118Updated 2 years ago
• HanGuo97 / soft-Q-learning-for-text-generation
  ☆70Updated 2 years ago
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆83Updated 2 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆55Updated 2 years ago
• XuezheMax / fairseq-apollo
  FairSeq repo with Apollo optimizer
  ☆114Updated last year
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 2 years ago
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆58Updated 2 years ago
• princeton-nlp / DinkyTrain
  Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
  ☆114Updated 2 years ago
• aliborji / ChatGPT_Failures
  A categorical archive of ChatGPT failures
  ☆64Updated 2 years ago
• tanyuqian / ctc-gen-eval
  EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation
  ☆97Updated 2 years ago
• shayne-longpre / a-pretrainers-guide
  ☆72Updated 2 years ago
• facebookresearch / UNLU
  Code for the paper "UnNatural Language Inference" to appear at ACL 2021 (Long Paper)
  ☆36Updated 3 years ago
• CAMTL / CA-MTL
  Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
  ☆57Updated 3 years ago
• fuzihaofzh / repetition-problem-nlg
  Code for the paper "A Theoretical Analysis of the Repetition Problem in Text Generation" in AAAI 2021.
  ☆54Updated 2 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• sunyt32 / torchscale
  Transformers at any scale
  ☆41Updated last year
• cimeister / typical-sampling
  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
  ☆82Updated 3 years ago
• jungokasai / twist_decoding
  ☆29Updated 3 years ago
• jxhe / efficient-knnlm
  Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
  ☆73Updated 3 years ago
• allenai / flex
  Few-shot NLP benchmark for unified, rigorous eval
  ☆91Updated 3 years ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated 2 years ago
• violet-zct / swarm-distillation-zero-shot
  ☆22Updated 2 years ago
• machelreid / m2d2
  M2D2: A Massively Multi-domain Language Modeling Dataset (EMNLP 2022) by Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
  ☆54Updated 2 years ago
• JunShern / few-shot-adaptation
  Exploring Few-Shot Adaptation of Language Models with Tables
  ☆24Updated 2 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆99Updated 2 years ago
• tianjunz / HIR
  ☆159Updated 2 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆38Updated 2 years ago
• thunlp / DPT
  ☆13Updated 3 years ago