evanwang2015,Evan Wang,github

machine-learning_computervision_uwo

Machine learning in Computer Vision

machine-learning_matlab_octave

Stanford Machine learning and AI: Supervised Learning, unsupervised learning with practices.

machine_learning_washington_u

Machine Learning without graphlab. Algorithm implementation from scratch

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mrs_mri_libs

Contains libraries for reading, writing and analysing Magnetic Resonance Spectroscopy and Imaging (MRS & MRI) data.

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

programming-contest

My solutions of some problems from different online judges

projects

Projects of compiler, Petrinet simulation, Compression, Radiation, data security evaluation

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

python-programming

Data mining and visualization in Python and SQL

quantitativecourselist

A list of core courses implemented in Math, Physics, Electronics and Computer Engineering

rake-nltk

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

random-forest-importances

Code to compute permutation and drop-column importances in Python scikit-learn random forests

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

scikit-learn

scikit-learn: machine learning in Python

smac3

Sequential Model-based Algorithm Configuration

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

stockpredictions

Stock Predictions through NYTimes article headlines sentiment analysis.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorial

A TensorFlow tutorial for computer vision

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

trax

Trax — Deep Learning with Clear Code and Speed

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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