shi1997Yee

kaggle-study

code about kaggle

PGD-attack-DNN

implement PGD and FGSM attacks for DNNs

Hands-On-Meta-Learning-With-Python

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

L_Softmax_TensorFlow

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-cifar-fs

Extended code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" with CIFAR-fs classification

MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ML_study

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

tf.extra_losses

Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow

torchkeras

Pytorch❤️ Keras 😋😋

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

VGG16_TF

简单实现VGG16