Yi Jiang (iFighting)

iFighting

Geek Repo

Company:WFH

Location:HangZhou

Home Page:https://enjoyyi.github.io/

Twitter:@Enjoy_Yi

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Yi Jiang's starred repositories

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

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ChatReviewer

ChatReviewer: 使用ChatGPT分析论文优缺点,提出改进建议

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gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

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NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

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gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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CLUE

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

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PF-AFN

Official code for "Parser-Free Virtual Try-on via Distilling Appearance Flows", CVPR 2021.

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learning_research

本人的科研经验

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datacomp

DataComp: In search of the next generation of multimodal datasets

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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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DreamPose

Official implementation of "DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion"

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EditAnything

Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)

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clip-interrogator

Image to prompt with BLIP and CLIP

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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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zero123

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

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BELLE

BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)

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Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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UNINEXT

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

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GLM-130B

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

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InternImage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

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SparK

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

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CPM-1-Generate

Chinese Pre-Trained Language Models (CPM-LM) Version-I

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imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

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3d-photo-inpainting

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

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ResKD

[NeurIPS 2022] Official implementation of the paper "Rethinking Resolution in the Context of Efficient Video Recognition".

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