Chao Wu (ftd-Wuchao)

ftd-Wuchao

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Company:Sun Yat-Sen University

Location:Zhuhai, Guangzhou, China

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Chao Wu's starred repositories

GitHubDaily

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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paper-reading

深度学习经典、新论文逐段精读

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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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ChatRWKV

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

AI-Job-Notes

AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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Awesome-Text-to-Image

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

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Autopilot-TensorFlow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

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Paper-Picture-Writing-Code

MLNLP: Paper Picture Writing Code

Domain-generalization

All about domain generalization

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

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sysu-thesis

中山大学 LaTeX 论文项目模板

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Autopilot

A simple self-driving car module for humans 🚘 🛣️

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continuum

A clean and simple data loading library for Continual Learning

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mrcl

Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"

squad

Starter code for Stanford CS224n default final project on SQuAD 2.0

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robustdg

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

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swad

Official Implementation of SWAD (NeurIPS 2021)

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SDC-IL

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

cassle

Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)

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SEGA

Codes for the WACV 2022 paper: "SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning"

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Deep-Learning-using-BERT

We are going to build a sentiment analysis program that uses BERT by using Python with Pytorch with Anaconda.

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