Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
Implementation for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
python cub_attribute.py
running with python 3.x, Pytorch 0.3/0.2
DeepEmbeddingModel_ZSL
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...
An implementation of DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Co...
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Fast, DB Backed pretrained word embeddings for natural language processing.
深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Fe...
A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instea...
Deep Learning model Zoo
Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photograp...
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Adversarially Learned Inference in Pytorch
A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)
A collection of TensorFlow (Tensorpack) implementations of recent deep learning approaches includ...
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...