Pinned Repositories
30-Days-Of-JavaScript
30 days of JavaScript programming challenge is a step by step guide to learn JavaScript programming language in 30 days
30-seconds-of-python
A curated collection of useful Python snippets that you can understand in 30 seconds or less.
advent-of-code
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
algo
数据结构和算法必知必会的50个代码实现
app-ideas
A Collection of application ideas which can be used to improve your coding skills.
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
TX-WORD2VEC-SMALL
腾讯word2vec模型缩小版
webapp_lowcode
masknugget's Repositories
masknugget/linux-command
Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
masknugget/stats-illustrations
R & stats illustrations by @allison_horst
masknugget/Data-Engineering-HowTo
A list of useful resources to learn Data Engineering from scratch
masknugget/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
masknugget/applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
masknugget/javascript-datastructures-algorithms
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
masknugget/data-engineer-roadmap
Roadmap to becoming a data engineer in 2020
masknugget/scikit-learn-tips
:robot::zap: Daily scikit-learn tips
masknugget/awesome-data-engineering
A curated list of data engineering tools for software developers
masknugget/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
masknugget/forecasting
Time Series Forecasting Best Practices & Examples
masknugget/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
masknugget/api-guidelines
Microsoft REST API Guidelines
masknugget/Sourcetrail
Sourcetrail - free and open-source interactive source explorer
masknugget/app-ideas
A Collection of application ideas which can be used to improve your coding skills.
masknugget/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
masknugget/mlr3proba
Probabilistic Supervised Learning for mlr3
masknugget/DDParser
百度开源的依存句法分析系统
masknugget/treelite
model compiler for decision tree ensembles
masknugget/GNNPapers
Must-read papers on graph neural networks (GNN)
masknugget/sdopythonapp
Original schema.org python-appengine codebase
masknugget/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
masknugget/TX-WORD2VEC-SMALL
腾讯word2vec模型缩小版
masknugget/peewee
a small, expressive orm -- supports postgresql, mysql and sqlite
masknugget/Stock-Price-Prediction-LSTM
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
masknugget/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
masknugget/tutorials
CatBoost tutorials repository
masknugget/dvc
🦉Data Version Control | Git for Data & Models
masknugget/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
masknugget/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.