yanghao1996

yanghao1996's Stars

• X-PLUG/mPLUG-DocOwl

  mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

  Language:Python1.6k101

• X-PLUG/mPLUG-Owl

  mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

  Language:Python2.3k176

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.5k3.5k

• shengliu66/ELR

  Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

  Language:Python28829

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.5k1.9k

• MenghaoGuo/Awesome-Vision-Attentions

  Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

  Language:Python2.8k413

• baifanxxx/awesome-active-learning

  A curated list of awesome Active Learning

  72969

• timesler/facenet-pytorch

  Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

  Language:Python4.5k952

• deepinsight/insightface

  State-of-the-art 2D and 3D Face Analysis Project

  Language:Python23.4k5.4k

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.8k573

• Duan-JM/awesome-papers-fewshot

  Collection for Few-shot Learning

  Language:TeX973134

• LiJunnan1992/DivideMix

  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

  Language:Python54384

• YisenWang/symmetric_cross_entropy_for_noisy_labels

  Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"

  Language:Python17132

• HanxunH/SCELoss-Reproduce

  Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112

  Language:Python18316

• modAL-python/modAL

  A modular active learning framework for Python

  Language:Python2.2k324

• NUAA-AL/ALiPy

  ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

  Language:Python869115

• DarLiner/Algorithm_Interview_Notes-Chinese

  2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

  Language:Python2.2k510

• shengxinjing/programmer-job-blacklist

  :see_no_evil:程序员找工作黑名单，换工作和当技术合伙人需谨慎啊 更新有赞

  Language:Shell28.4k1.8k

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11.1k2.9k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.4k3.7k

• pushiqiang/django_forum

  This is a small and simple forum which uses the Django Framework (written in Python language).这是一个基于django的小型论坛系统

  Language:JavaScript4531