Qui Nguyen's repositories
android-open-project
A categorized collection of Android Open Source Projects, More powerful web version:
awesome-deep-learning-papers
The most cited deep learning papers
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.
MPAndroidChart
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, dragging and animations.
tensorflow
Computation using data flow graphs for scalable machine learning
Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
interactive-coding-challenges
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
jQuery-File-Upload
File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP, Python, Ruby on Rails, Java, etc.) that supports standard HTML form file uploads.
logging-log4j2
Apache Log4j 2 is an upgrade to Log4j that provides significant improvements over its predecessor, Log4j 1.x, and provides many of the improvements available in Logback while fixing some inherent problems in Logback's architecture.
PHP_CodeSniffer
PHP_CodeSniffer tokenizes PHP, JavaScript and CSS files and detects violations of a defined set of coding standards.
scikit-learn
scikit-learn: machine learning in Python
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.