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@FTC9042@Computer-Science-Innovators@DeepCriminalize

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  1. fewshot-preference-optimizationfewshot-preference-optimizationPublic

    Few-Shot Preference Optimization (FSPO) personalizes LLMs by reframing reward modeling as a meta-learning problem, enabling rapid adaptation to user preferences with minimal labeled data, leveragin…

    Python 17 6

  2. understanding-rlhfunderstanding-rlhfPublic

    Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Our new work finds that approaches employing on-policy samplin…

    Python 32 4

  3. PTRPTRPublic

    This repository contains the implementation of the PTR algorithm described in the paper: Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning.

    Python 32 3

  4. OfflineRlWorkflowOfflineRlWorkflowPublic

    This repository accompanies the following paper: A Workflow for Offline Model-Free Robotic RL

    Python 13 2

  5. Personalized-Text-To-Image-DiffusionPersonalized-Text-To-Image-DiffusionPublic

    Public Implementation of PPD

    Python 13 1

  6. DeepCriminalizeDeepCriminalizePublic

    Project that uses GAN's to develop a sketch artist like representation of a criminal. Winners of the Cal Hack Fellowship 2019

    Python 2 1