Pinned Repositories
Breast_Cancer_Segmentation
Pytorch implementation of the U-Net for Breast Cancer Segmentation
DeepBSDE
Deep BSDE solver in TensorFlow
emotion_recognition
CTC for emotion recognition
HKUEEE
Selected interesting implementations
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
speech_emotion_recognition
Predicting emotion in speech
TernausNet
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
unet-pytorch
PeterXiaoGuo's Repositories
PeterXiaoGuo/DeepBSDE
Deep BSDE solver in TensorFlow
PeterXiaoGuo/CEAL-Medical-Image-Segmentation
Active Deep Learning for Medical Imaging Segmentation
PeterXiaoGuo/CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
PeterXiaoGuo/dash-opioid-epidemic-demo
US county data for poision-induced deaths, years 1999-2015
PeterXiaoGuo/Data-Analysis
Data Analysis Using Python
PeterXiaoGuo/datacamp-community-tutorials
Tutorials for DataCamp (www.datacamp.com)
PeterXiaoGuo/dataset
The Open Images dataset
PeterXiaoGuo/DSB2017-1
The solution of team 'grt123' in DSB2017
PeterXiaoGuo/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PeterXiaoGuo/ib_insync
Python sync/async framework for Interactive Brokers API
PeterXiaoGuo/iSeg2017-nic_vicorob
Implementation of the nic_vicorob team for addressing the MICCAI Grand Challenge on 6-month infant brain MRI segmentation iSeg2017
PeterXiaoGuo/medical-imaging-datasets
A list of Medical imaging datasets. Source : https://sites.google.com/site/aacruzr/image-datasets
PeterXiaoGuo/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
PeterXiaoGuo/pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
PeterXiaoGuo/pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
PeterXiaoGuo/practical-machine-learning-with-python-1
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
PeterXiaoGuo/PRMLT
Matlab code for machine learning algorithms in book PRML
PeterXiaoGuo/pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
PeterXiaoGuo/pytorch-scripts
A few Windows specific scripts for PyTorch
PeterXiaoGuo/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
PeterXiaoGuo/Recipes
Lasagne recipes: examples, IPython notebooks, ...
PeterXiaoGuo/SentiBridge
SentiBridge: A Knowledge Base for Entity-Sentiment Representation
PeterXiaoGuo/slambook
PeterXiaoGuo/SONYC-Dash-App
Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.
PeterXiaoGuo/srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
PeterXiaoGuo/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
PeterXiaoGuo/Tensorflow-Project-Template
A best practice for tensorflow project template architecture.
PeterXiaoGuo/TensorFlow-Signal-Processing
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
PeterXiaoGuo/tpx-kaggle-dsb2017
Therapixel solution of 2017's kaggle challenge on lung cancer detection
PeterXiaoGuo/unet
unet for image segmentation