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awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

backendsummary

camel-examples

Apache Camel Examples

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deeplizard-pytorch-

自己总结的DeepLizard的pytorch神经网络编程系列视频的笔记(非官方)

dgp

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

dis-seckill

:punch:SpringBoot+Zookeeper+Dubbo打造分布式高并发商品秒杀系统

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

efficientnet-pytorch

A PyTorch implementation of EfficientNet

efficientnet-yolo3-keras

这是一个efficientnet-yolo3-keras的源码，将yolov3的主干特征提取网络修改成了efficientnet

f-clswgan_pytorch

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

feature-generating-networks

Zero Shot Learning with Feature Generating Networks

first

gdan

Generative Dual Adversarial Network for Generalized Zero-shot Learning

gmn-zsl

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

javafamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

javahome

一份超级详细的Java面试题【大厂面试真题+Java学习指南+工作总结】

javanote

📁我不是的知识的生产者，我只是知识的搬运工

leetcode-master

LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

lisgan

LisGAN, Leveraging the Invariant Side of Generative Zero-Shot Learning, CVPR 2019

lisgan-using-torch

Implementation of "Leveraging the Invariant Side of Generative Zero-Shot Learning" paper

miaosha

⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析🙋🐓

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

old_driver_family

操作记录

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more