M Hendra Herviawan's repositories
deep-learning-papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Paper-Collection
A track of papers I read and papers I collect to read in future
workspace-Arduino
Eclipse
adwords-scripts
A collection of my AdWords Scripts.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
googleads-python-lib
The Python client library for Google's Ads APIs
cryptotrader-telegram
A Telegram bot written in Python which provides various Cryptocurrency Trading features, and Technical Analysis using Binance API.
docker-distributed
Experimental docker-compose setup to bootstrap distributed on a docker-swarm cluster.
ga-dev-tools
A showcase of demos and tools built with the various Google Analytics APIs and Libraries.
galactic-punks-nft-scraping
Jupyter Notebook showing how to scrape list of Galactic Punks
googleads-java-lib
Google Ads APIs Client Library for Java (AdWords, DFA, and DFP)
kaggle_ndsb2017
Kaggle datascience bowl 2017
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
parallel-data-analysis
Parallel computing in Python tutorial materials
tensorflow
Computation using data flow graphs for scalable machine learning