Yiqiao Qiu (QIU023)

QIU023

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Company:University of California, San Diego

Location:San Diego

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Yiqiao Qiu's repositories

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Learning software development

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Class-Incremental-Instance-Segmentation

Code for AAAI2021 paper "Class-Incremental Instance Segmentation via Multi-Teacher Networks"

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CSE240A

Initial framework source code for CSE240A branch predictor project

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segformer-pytorch

Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch

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xla

Enabling PyTorch on Google TPU

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

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Mathematical-Analysis-III

《数学分析III》课程资源

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Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

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Reinforcement-Learning-Breakout

DRL with DQN PER Dueling for implementation of Atari Game Breakout

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continual-learning-reproduce

Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.

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Awesome-Incremental-Learning

Awesome Incremental Learning

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BaiduPCS-Go

百度网盘客户端 - Go语言编写

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MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

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SYSU_Notebook

本项目分享了本人在中山大学数据科学与计算机学院计算机科学专业的课程资料、笔记、回忆和整理的期末考试卷、及课程作业。希望对你们有所帮助❤️,如果喜欢记得给个star哦🌟

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faceswap

Deepfakes Software For All

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ucore_os_lab

https://chyyuu.gitbooks.io/ucore_os_docs/content

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Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

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SYSU-Exam

收集整理SYSU期末考试卷子、资料

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taichi

The Taichi programming language

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pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

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transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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CRST

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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ai-edu

AI education materials for Chinese students, teachers and IT professionals.

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Lottery-Ticket-Hypothesis-in-Pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

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