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advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

aistartups

Startups about artificial intelligence. (DM, ML, NLP, CV...)

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

androidimbymqtt

Android开发之基于MQTT协议实现消息的即时推送

androidtensorflowmachinelearningexample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

autumn_2017

杭州电子科技大学 CAMALAB 2017 秋季学期 学习组

awesome-grounding

awesome grounding: A curated list of research papers in visual grounding

awesome-knowledge-graph

A collection of knowledge graph papers and reading notes.

awesome-knowledge-graph-1

整理知识图谱相关学习资料

awesome-question-answering

Resources, datasets, papers on Question Answering

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bert

bottom-up-attention.pytorch

An PyTorch reimplementation of bottom-up-attention models

cama_summer_school_2017

杭电 CAMA-LAB 机器学习暑期研讨班

camalab.ml.summerschool

ccm

This project is a tensorflow implement of our work, CCM.

cdcs

Chinese Data Competitions' Solutions

chinesecodinginterviewappendix

The source code for the appendix part of the Chinese version of the book Coding Interviews

codecraft2019

2019华为软件精英挑战赛

comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

crossdomainfewshot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

cs-notes

😋 技术面试必备基础知识

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darknet

Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.