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深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
A curated list of Meta-Learning resources/papers.
Graph Convolution Network for PyTorch
Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
PyTorch深度学习开源电子书