Licong Guan (licongguan)

licongguan

Geek Repo

Company:Beijing Jiaotong University

Location:Beijing

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

Github PK Tool:Github PK Tool

Licong Guan's repositories

ILM-ASSL

Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation

awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile READMEs 📝

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dqn_zoo

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

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segmentation-paper-reading-notes

segmentation paper reading notes

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transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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BackgroundMattingV2

Real-Time High-Resolution Background Matting

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boundary-iou-api

Boundary IoU API (Beta version)

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ChatGPT-Data-Science-Prompts

A repository of 60 useful data science prompts for ChatGPT

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Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

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CVPR2023-Paper-Code-Interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

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deep-active-learning

Deep Active Learning

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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EditAnything

Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc.

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Firefly

Firefly(流萤): 中文对话式大语言模型

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imageio-binaries

Repo to place the (relatively small) binary libraries

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Johann-Goncalves-Pereira

Config files for my GitHub profile.

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KDAT

💥一个专为视觉方向目标检测全流程的标注工具集,全称:Kill Object Detection Annotation Tools。

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lang-segment-anything

SAM with text prompt

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matting-survey

Deep Image Matting: A Comprehensive Survey

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stable-diffusion

A latent text-to-image diffusion model

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UniMatch

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

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