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ai-edu

AI education materials for Chinese students, teachers and IT professionals.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

amax_set

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-image-denoising-state-of-the-art

awesome image and video denoising, state of the art networks

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-tiny-object-detection

A curated list of Tiny Object Detection papers and related resources.

awesome-zero-shot-learning

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

awesomecv

记录state-of-art计算机视觉相关论文。

broad-learning

chinesenlpcorpus

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

classification_models

Classification models trained on ImageNet. Keras.

coco2voc

coco dataset 2017 to voc format, then convert to lmdb

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-models

Keras code and weights files for popular deep learning models.

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

deye

Keep an Eye on Defects Inspection.

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。

efficientdnns

Collection of recent methods on DNN compression and acceleration

experiments