Pinned Repositories
33-js-concepts
:scroll: 每个 JavaScript 工程师都应懂的33个概念 @leonardomso
Algorithm
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
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
awesome-flask
A curated list of awesome Flask resources and plugins
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
douban_spider
豆瓣网站的爬虫代码和词云图的可视化
Kaggle-Home-Credit-Default-Risk
Ranked 10/7198 (Top 1%) One of the models used in Kaggle Home Credit Default Risk.
Web_Spider
国内主流网站的爬虫
dylanxia2017's Repositories
dylanxia2017/33-js-concepts
:scroll: 每个 JavaScript 工程师都应懂的33个概念 @leonardomso
dylanxia2017/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
dylanxia2017/bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
dylanxia2017/CS-Notes
😋 技术面试必备基础知识
dylanxia2017/CS583A-2019Spring
dylanxia2017/Data-Science--Cheat-Sheet
Cheat Sheets
dylanxia2017/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
dylanxia2017/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15个章节，近20万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dylanxia2017/fast-bert
Super easy library for BERT based NLP models
dylanxia2017/home-credit-default-risk
Kaggle home credit default risk competition
dylanxia2017/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
dylanxia2017/interactive-coding-challenges
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
dylanxia2017/kaggle-hpa
Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
dylanxia2017/kaggle-quora-dup
Solution to Kaggle's Quora Duplicate Question Detection Competition
dylanxia2017/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
dylanxia2017/Learning-from-data
记录Learning from data一书中的习题解答
dylanxia2017/leetcode-1
👏🏻 leetcode solutions for Humans™
dylanxia2017/lofo-importance
Leave One Feature Out Importance
dylanxia2017/Machine-Learning-Session
dylanxia2017/machine_learning_beginner
机器学习初学者公众号作品
dylanxia2017/ML-Foundation-and-ML-Techniques
台大机器学习课程作业详解
dylanxia2017/nlp-beginner
NLP上手教程
dylanxia2017/nlp_chinese_corpus
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
dylanxia2017/numpy-100
100 numpy exercises (100% complete)
dylanxia2017/practicalAI
A practical approach to learning machine learning.
dylanxia2017/Python
All Algorithms implemented in Python
dylanxia2017/Python-crawler-tutorial-starts-from-zero
python爬虫教程，带你从零到一，包含js逆向，selenium, tesseract OCR识别,mongodb的使用，以及scrapy框架
dylanxia2017/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
dylanxia2017/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
dylanxia2017/xgboost-lightgbm-hyperparameter-tuning
Bayesian Optimization and Grid Search for xgboost/lightgbm