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zhikanggfu's Projects

alphaclip icon alphaclip

Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

appagent icon appagent

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

auto-ui icon auto-ui

Official implementation for "You Only Look at Screens: Multimodal Chain-of-Action Agents" (stay tuned and more will be updated)

awesome-rlhf icon awesome-rlhf

A curated list of reinforcement learning with human feedback resources (continually updated)

cobra icon cobra

Cobra: Extending Mamba to Multi-modal Large Language Model for Efficient Inference

cogvlm icon cogvlm

a state-of-the-art-level open visual language model | 多模态预训练模型

controlvideo icon controlvideo

[Arxiv 2023] Official pytorch implementation of "ControlVideo: Training-free Controllable Text-to-Video Generation"

ddpo icon ddpo

Code for the paper "Training Diffusion Models with Reinforcement Learning"

ddpo-pytorch icon ddpo-pytorch

DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support

decision-mamba icon decision-mamba

Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces

diamond icon diamond

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model.

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

diffusion_nlp_papers icon diffusion_nlp_papers

Listing some diffusion papers in NLP domain I have read, text generation is main, table will continue to be updated.

diffusiondet icon diffusiondet

[ICCV2023 Oral] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

flaml icon flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

freevc icon freevc

FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion

hh-rlhf icon hh-rlhf

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

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