Yixin Liu's repositories

OpenChatPaper

Yet another paper reading assistant based on OpenAI ChatGPT API. An open-source version that attempts to reimplement ChatPDF. A different dialogue version of another ChatPaper project.

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arxiv2latex

Download the source latex code of multiple arXiv paper with one click

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MetaCloak

[CVPR'24 Oral] Metacloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning

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Stable-Unlearnable-Example

[AAAI'24] Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise

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_ChatPaper

Use ChatGPT to summary the Arxiv papers.

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AI-Paper-Collector

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

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Anti-DreamBooth

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis

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awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

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bark-with-voice-clone

🔊 Text-prompted Generative Audio Model - With the ability to clone voices

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ChatGPT

Lightweight package for interacting with ChatGPT's API by OpenAI. Uses reverse engineered official API.

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clip-interrogator

Image to prompt with BLIP and CLIP

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CVPR2023-Papers-with-Code

CVPR 2023 论文和开源项目合集

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gpt4-pdf-chatbot-langchain

GPT4 & LangChain Chatbot for large PDF docs

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GPTQ-for-LLaMa

4 bits quantization of LLaMa using GPTQ

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grobid

A machine learning software for extracting information from scholarly documents

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improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

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liuyixin-louis.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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llama

Inference code for LLaMA models

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metaseq

Repo for external large-scale work

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open-interpreter

OpenAI's Code Interpreter in your terminal, running locally

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pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

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scipdf_parser

Python PDF parser for scientific publications: content and figures

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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