Alternatives and similar repositories for minRLHF

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

• mansicer / Q-Adapter
  Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"
  ☆18Updated last year
• Asap7772 / understanding-rlhf
  Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…
  ☆32Updated last year
• snu-mllab / DPPO
  Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
  ☆42Updated last year
• vwxyzjn / summarize_from_feedback_details
  ☆151Updated 10 months ago
• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆28Updated last year
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆66Updated 6 months ago
• cmu-l3 / neurips2024-inference-tutorial-code
  NeurIPS 2024 tutorial on LLM Inference
  ☆47Updated 10 months ago
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated last year
• facebookresearch / rlfh-gen-div
  This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity
  ☆47Updated last year
• XanderJC / attention-based-credit
  Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…
  ☆37Updated last year
• Cornell-RL / drpo
  Dateset Reset Policy Optimization
  ☆31Updated last year
• zhxieml / PDT
  Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer
  ☆28Updated 2 years ago
• rosieyzh / openrlhf-pretrain
  Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"
  ☆21Updated 5 months ago
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆63Updated 5 months ago
• yudasong / briee
  Representation Learning in RL
  ☆13Updated 3 years ago
• martin-wey / CodeUltraFeedback
  CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)
  ☆71Updated last year
• lucidrains / ppo
  An implementation of PPO in Pytorch
  ☆96Updated 2 months ago
• jhejna / cpl
  Code for Contrastive Preference Learning (CPL)
  ☆176Updated 10 months ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• cassidylaidlaw / hidden-context
  Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"
  ☆31Updated last year
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆60Updated 2 years ago
• okarthikb / DPO
  Implementation of Direct Preference Optimization
  ☆16Updated 2 years ago
• weigq / openview_quicklook
  ☆34Updated 7 months ago
• allenai / signal-and-noise
  Measuring the Signal to Noise Ratio in Language Model Evaluation
  ☆23Updated last month
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆60Updated last year
• abdulhaim / LMRL-Gym
  ☆102Updated last year
• ahjwang / messenger-emma
  Implements the Messenger environment and EMMA model.
  ☆25Updated 2 years ago
• liziniu / ReMax
  Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)
  ☆193Updated last year
• cmu-mind / RISE
  ☆33Updated 11 months ago
• WeiXiongUST / Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning
  This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…
  ☆30Updated 10 months ago