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hiredd's Projects

tf-stanford-tutorials icon tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

tflearn icon tflearn

Deep learning library featuring a higher-level API for TensorFlow.

thesis icon thesis

ECG signal analysis and classification

thunder icon thunder

scalable analysis of images and time series

timeseries_gan icon timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

tp-gan icon tp-gan

Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

tpot icon tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

transferlearning icon transferlearning

Resources and codes about transfer learning and domain adaptation--迁移学习

trical icon trical

Straightforward UKF-based scale and bias calibration for magnetometers (and other tri-axial field sensors).

tsim icon tsim

Matlab-based simulation of object trajectories

tslearn icon tslearn

A machine learning toolkit dedicated to time-series data

ufldl-tutorial icon ufldl-tutorial

Deep Learning and Unsupervised Feature Learning Tutorial Solutions

vcnn_double-bladed icon vcnn_double-bladed

Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.

vf_prediction icon vf_prediction

Matlab code for detecting ventricular fibrillation by using machine learning

vlstm icon vlstm

Vectorized multimodal LSTM using Matlab and GPU

voc-dpm icon voc-dpm

Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.

yellowbrick icon yellowbrick

A suite of visual analysis and diagnostic tools to facilitate feature selection, model selection, and parameter tuning for machine learning.

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