Qi Liu (qiliu-ghddi)

qiliu-ghddi

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Company:GHDDI

Location:Beijing, China

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Qi Liu's starred repositories

tweepy

Twitter for Python!

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SciencePlots

Matplotlib styles for scientific plotting

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Wooey

A Django app that creates automatic web UIs for Python scripts.

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nicegui

Create web-based user interfaces with Python. The nice way.

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ttskit

text to speech toolkit. 好用的中文语音合成工具箱,包含语音编码器、语音合成器、声码器和可视化模块。

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text2video

半个神器👉一键文本转视频的工具

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autocut

用文本编辑器剪视频

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LLMBook-zh.github.io

《大语言模型》作者:赵鑫,李军毅,周昆,唐天一,文继荣

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pytorch-llama

LLaMA 2 implemented from scratch in PyTorch

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safe-rlhf

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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aligner

Achieving Efficient Alignment through Learned Correction

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

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LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

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awesome-diffusion-model-in-rl

A curated list of Diffusion Model in RL resources (continually updated)

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ImageReward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

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google-research

Google Research

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Diff4RLSurvey

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

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open_clip

An open source implementation of CLIP.

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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ddpo-pytorch

Reproduction of DDPO paper (RLHF for diffusion)

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DRLX

Diffusion Reinforcement Learning Library

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

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ddpo

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

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