Alternatives and similar repositories for ParaKnowTransfer

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

• ozyyshr / ShareGPT_investigation

  View on GitHub
  The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions (EMNLP 2023))
  ☆13Dec 21, 2023Updated 2 years ago
• limenlp / safer-instruct

  View on GitHub
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Feb 22, 2024Updated last year
• duterscmy / CD-MoE

  View on GitHub
  Official PyTorch implementation of CD-MOE
  ☆12Mar 29, 2025Updated 10 months ago
• bytedance / DistPro

  View on GitHub
  ☆12Oct 26, 2022Updated 3 years ago
• aaronserianni / training-free-nas

  View on GitHub
  [ACL'22] Training-free Neural Architecture Search for RNNs and Transformers
  ☆14May 26, 2024Updated last year
• orashi / NSE_NAS

  View on GitHub
  Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"
  ☆12Aug 18, 2021Updated 4 years ago
• XinbangZhang / DATA-NAS

  View on GitHub
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Jul 22, 2021Updated 4 years ago
• kcyu2014 / multi-model-forgetting

  View on GitHub
  ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting
  ☆14Jun 5, 2019Updated 6 years ago
• likenneth / q_probe

  View on GitHub
  Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
  ☆40Jun 10, 2024Updated last year
• ArkadiyD / MacroNASBenchmark

  View on GitHub
  Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…
  ☆12Jul 25, 2024Updated last year
• dreasysnail / CoCon

  View on GitHub
  Consistent dialogue generation
  ☆16Oct 26, 2022Updated 3 years ago
• automl / DE-NAS

  View on GitHub
  ☆20Aug 16, 2021Updated 4 years ago
• researchmm / NEAS

  View on GitHub
  ☆19May 11, 2021Updated 4 years ago
• EthanZhangYC / OD-cheap-convolution

  View on GitHub
  PyTorch implementation for OD-cheap-convolution.
  ☆20Sep 29, 2019Updated 6 years ago
• yzjiao / RolePred

  View on GitHub
  Source code for EMNLP findings paper "Open-Vocabulary Argument Role Prediction for Event Extraction"
  ☆19Nov 5, 2022Updated 3 years ago
• JasonForJoy / MPC-BERT

  View on GitHub
  GIFT (ACL 2023) & MPC-BERT (ACL 2021) for Multi-Party Conversation Understanding
  ☆41Jul 12, 2023Updated 2 years ago
• NivNayman / XNAS

  View on GitHub
  ☆18Nov 6, 2019Updated 6 years ago
• JiaxiongQ / SlimConv

  View on GitHub
  Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)
  ☆20Mar 1, 2023Updated 2 years ago
• wizard-III / ArcherCodeR

  View on GitHub
  ArcherCodeR is an open-source initiative enhancing code reasoning in large language models through scalable, rule-governed reinforcement …
  ☆44Aug 6, 2025Updated 6 months ago
• safpla / AutoLossRelease

  View on GitHub
  ☆19Mar 5, 2019Updated 6 years ago
• LiqunMa / FBI-LLM

  View on GitHub
  FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
  ☆51Aug 24, 2025Updated 5 months ago
• haolibai / APS-channel-search

  View on GitHub
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆22Nov 15, 2020Updated 5 years ago
• VascoLopes / EPE-NAS

  View on GitHub
  ☆26Apr 12, 2022Updated 3 years ago
• ylsung / ECoFLaP

  View on GitHub
  Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)
  ☆20Feb 16, 2024Updated last year
• xieydd / Pytorch-Single-Path-One-Shot-NAS

  View on GitHub
  Single Path One-Shot NAS MXNet implementation with Supernet training and searching
  ☆19Dec 23, 2019Updated 6 years ago
• btma48 / AutoLA

  View on GitHub
  Code of our Neurips2020 paper "Auto Learning Attention", coming soon
  ☆22Apr 14, 2021Updated 4 years ago
• susan0199 / StacNAS

  View on GitHub
  ☆18Oct 16, 2019Updated 6 years ago
• lliai / D2MoE

  View on GitHub
  D^2-MoE: Delta Decompression for MoE-based LLMs Compression
  ☆72Mar 25, 2025Updated 10 months ago
• MITAutoML / accelerating_nas

  View on GitHub
  Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)
  ☆18Mar 21, 2018Updated 7 years ago
• nathanhu0 / CaMeLS

  View on GitHub
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Jan 23, 2024Updated 2 years ago
• VITA-Group / Random-MoE-as-Dropout

  View on GitHub
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Feb 28, 2023Updated 2 years ago
• AIoT-MLSys-Lab / arch2vec

  View on GitHub
  [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…
  ☆50Jan 19, 2021Updated 5 years ago
• renqianluo / SemiNAS

  View on GitHub
  ☆26Dec 10, 2020Updated 5 years ago
• lliai / Teacher-free-Distillation

  View on GitHub
  TF-FD
  ☆20Nov 19, 2022Updated 3 years ago
• VITA-Group / WeakNAS

  View on GitHub
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Sep 23, 2022Updated 3 years ago
• AboveParadise / LLMCBench

  View on GitHub
  ☆28Dec 2, 2024Updated last year
• cogsys-tuebingen / uninas

  View on GitHub
  A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).
  ☆23Dec 3, 2021Updated 4 years ago
• CownowAn / DaSS

  View on GitHub
  Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)
  ☆26Mar 18, 2024Updated last year
• yxli2123 / LoSparse

  View on GitHub
  ☆63Oct 17, 2023Updated 2 years ago