LH1217

LH1217's Stars

• freefq/free

  翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

  37k8496825.7k

• Pawdroid/Free-servers

  🚀 免费订阅地址，🚀 免费节点，🚀 6小时更新一次，共享节点，节点质量高可用，完全免费。免费clash订阅地址，免费翻墙、免费科学上网、免费梯子、免费ss/v2ray/trojan节点、谷歌商店、翻墙梯子。🚀 Free subscription address, 🚀 Free node, 🚀 Updated every 6 hours, shared node, high-quality node availability, completely free. Free clash subscription address, free ss/v2ray/trojan node.

  12.5k2130835

• Henryhaohao/Bilibili_video_download

  :rainbow:Bilibili_video_download-B站视频下载

  Language:Python3.1k5693744

• sudharsan13296/Hands-On-Meta-Learning-With-Python

  Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

  Language:Jupyter Notebook1.2k405360

• yuhuage/dizhi

  雨花阁

  Language:HTML82618057

• bhanML/Co-teaching

  NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

  Language:Python4921211104

• tslgithub/image_class

  基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

  Language:Python4441227145

• google/mentornet

  Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

  Language:Python32110963

• buds-lab/building-data-genome-project-2

  Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition

  Language:Jupyter Notebook188172671

• follow666/javlib.com_javlibrary.com

  最新JAVLibrary图书馆地址发布页！2024年已更新，实时发布JAV图书馆最新地址_最新JAVlib图书馆防屏蔽地址_进入JAV图书馆最新可访问地址_JAVLibrary图书馆永久更新地址_JAVLibrary.com最新地址_javlib.com发布页地址

  1561

• hongxin001/JoCoR

  CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

  Language:Python12621619

• udibr/noisy_labels

  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

  Language:Jupyter Notebook1186638

• marload/ConvNets-TensorFlow2

  ⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

  Language:Python1036331

• xingruiyu/coteaching_plus

  ICML'19 How does Disagreement Help Generalization against Label Corruption?

  Language:Python834716

• bubbliiiing/Siamese-tf2

  这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

  Language:Python51368

• schatty/prototypical-networks-tf

  Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0

  Language:Python513218

• acmi-lab/PU_learning

  Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotlight)

  Language:Python43324

• GarrettLee/label_noise_correction

  Implementation of paper: Making Deep Neural Network Robust to Label Noise: a Loss Correction Approach.

  Language:Python23114

• dr-darryl-wright/Noisy-Labels-with-Bootstrapping

  Keras implementation of Training Deep Neural Networks on Noisy Labels with Bootstrapping, Reed et al. 2015

  Language:Python22217

• emalach/UpdateByDisagreement

  code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]

  Language:Python21205

• Trotts/Siamese-Neural-Network-MNIST-Triplet-Loss

  An example notebook showing the use of a Siamese Neural Network with a triplet loss function trained on MNIST

  Language:Jupyter Notebook17127

• Youguang-Zhou/bilibili-dl

  Bilibili-dl 是一个下载 B 站音视频的工具（目前视频下载最高只支持720P）

  Language:Python17152

• songhwanjun/Co-teaching

  Language:Python11304

• sauravjoshi23/SiameseNet-Loss

  Text Classification Using Siamese Neural Networks - Contrastive Loss, Triplet Loss. This architecture works well when the training data is less.

  Language:Jupyter Notebook8212

• 26hzhang/CoTeaching

  A TensorFlow implementation of "Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels"

  Language:Python6104

• ari-dasci/S-RAFNI

  Language:Python3100

• bianjiang1234567/CoTeaching_plus_plus

  Language:Python20

• Mestrace/co-teaching

  EECS 600 Final Project: Co-teaching Improvements

  Language:Jupyter Notebook21

• Connor666/Face_Siamese_network

  Face_Siamese_network

  Language:Jupyter Notebook1201

• sayan0506/Siamese-Network-Implementation-On-MNIST-Data-Using-Keras

  Siamese Network With Triplet Loss Implementation On MNIST Data Using Keras

  Language:Jupyter Notebook1101