liumenglife,tradeX.ai,github

strtsmrt

Stock price trend prediction with news sentiment analysis using deep learning

svhn

Based on the CIFAR10 example on TensorFlow. Reconfiguring it to run my own images and data.

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-for-stock-prediction

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

tensorpack

A Neural Net Training Interface on TensorFlow

thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

time-series-arima-xgboost-rnn

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

time-series-data-smoother

Suppress noise and extract the meaningful trends for time series data

trading-analysis-bot

Telegram chatbot for data-driven analytics of crypto-market with technical indicators, social sentiment, developer activities and metrics related to crossed-network on-chain transactions

tradingofartificialintelligence

人工智能量化交易

trending-deep-learning

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

trendpy

Bayesian trend filtering micro library. http://trendpy.readthedocs.io/en/latest/

trump2cash

A stock trading bot powered by Trump tweets

tuning_xgboost

Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.

Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user mentions and displaying details for each trending topic using trends graph, live tweets and summary of related articles. It also included Topic Modelling and Entity Categorization to classify the tweets and extract valuable information about its contents and find similar tweets and related articles and URLs. A trending topic is represented as a word cloud created from set of keywords (hashtags or user mentions) that belong to that topic. Thus this application provides the required information to get an overhaul of the topics which are trending at that particular time. This data can be used to support social analysis, finance, marketing or news tracking.

ud036_startercode

Starter Code

udacimak

Udacity Nanodegree and Course Downloader

udacity-mlnd-linear-algebra

Udacity机器学习入门线性回归

udacity_deeplearning

优达学诚深度学习基石纳米学位课程练习

untrendy

De-trending Kepler light curves in style

wbpy

Python interface to the World Bank Indicators and Climate APIs

weather-station

Data logging code for the Raspberry Pi Weather Station HAT

weatherlog

WeatherLog is an application for keeping track of the weather and getting information about past trends.

web-scraping

Learn how to leverage Python's amazing tools to scrape data from other websites. The end goal of this course is to scrape blogs to analyze trending keywords and phrases. We'll be using Python 3.6, Requests, BeautifulSoup, Asyncio, Pandas, Numpy, and more!

weewx

WeeWX code repository

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