wb11uo Goto Github PK

3y

:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程，几乎涵盖了Java后端必备的知识点

ai-roadmap

ApacheCN AI 路线图（知识树）

ai-study

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

aipath

AI学习之路

automatic-modulation-classification

Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies

automatic-modulation-classification-1

Accumulated Polar Feature-based Deep Learning for Automatic Modulation Classification

awesome-ai-algorithm

人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码

awesome-incremental-learning

Awesome Incremental Learning

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

bert-use-demo

the demo for bert

bic

pytorch implementation of Large Scale Incremental Learning

big-data-resources

大数据/数据挖掘/推荐系统/机器学习相关资源

bigdataguide

大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料

class-incremental-learning

PyTorch implementation of some class-incremental learning methods

convseg

Convolutional neural network and word embeddings for Chinese word segmentation

course-nlp

A Code-First Introduction to NLP course

cvpr19_incremental_learning

Learning a Unified Classifier Incrementally via Rebalancing

dataset-distillation

Dataset Distillation

deep-learning-from-scratch

深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

dive-into-deep-learning-pytorch-pdf

本项目对中文版《动手学深度学习》中的代码进行了整理

dive-into-deep-learning-tf.keras

使用tensorflow.keras实现《动手学深度学习》

dl-paper

tensorflow2---cv论文复现

ee5611_project

Machine Learning for Wireless communications course project on Sequential Convolutional Recurrent Neural Networks for fast automatic modulation classification.

encoder-based-lifelong-learning

end-to-end-incremental-learning

Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]