JennyTian7 (Jennytian7)

Jennytian7

Geek Repo

Company:Georgia Tech

Location:Atlanta

Home Page:https://www.linkedin.com/in/hongzhen-tian-077747aa/

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JennyTian7's repositories

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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LeetCode

:pencil2: LeetCode solutions in C++ 11 and Python3

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Deep-Learning-Coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

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Markov-Random-Field-Project

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

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ga-mrf

research project with kennesaw state university's computer vision and security research lab. work involves using the genetic algorithm to improve image segmentation. work is based on Zoltan Kato's proposed mrf model

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100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

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fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

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time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

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K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

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Sequential-Probability-Ratio-Test

Python package for Wald's sequential probability ratio test

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Machine-Learning-Models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

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Image_Classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

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Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

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reinforcement-learning

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

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apg

A lightweight accelerated proximal-gradient package for matlab

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imtsl

IMTSL - Incremental and Multi-feature Tensor Subspace Learning

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