xuchen86's repositories
active-segmentation
Thesis for the MSc AI
active_gp_learning
This package provides a set of tools for performing active-learning with Gaussian Processes.
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
bdl-benchmarks
Bayesian Deep Learning Benchmarks
DeepLearningTutorials
Deep Learning与PyTorch入门实战视频教程
face-attribute-prediction
Face Attribute Prediction on [CelebA](http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html) benchmark with PyTorch Implemantation
Facial-Attribute-Analysis-and-Handwritten-Digit-Recognition
Implemented Convolutional Neural Network on CelebA dataset to analyse facial attributes. Implemented and trained Logistic Regression, Single Layer Neural Network and Convolutional Neural Network models for handwritten digit recognition over MNIST and USPS dataset.
GNNPapers
Must-read papers on graph neural networks (GNN)
google-research
Google AI Research
horseshoe-bnn
A Bayesian Neural Network with a horseshoe prior for improved interpretability
Lihang
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
MOSM-AL
Active Learning of the distribution of multiple correlated target features with Multiple Output Spectral Mixture Kernels Gaussian Processes
NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
organ_segmentation_analysis
Organ segmentation demo at MICCAI19 Bayesian Deep Learning for Medical Imaging tutorial
PlotNeuralNet
Latex code for making neural networks diagrams
pMOEA-D
pMOEA/D Project
probability
Probabilistic reasoning and statistical analysis in TensorFlow
pyprobml
Python code for "Machine learning: a probabilistic perspective"
pytorch-cifar
95.16% on CIFAR10 with PyTorch
pytorch_active_learning
PyTorch Introduction to Active Learning
pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST
skin_lesion_analysis
Skin lesion classification demo at MICCAI19 Bayesian Deep Learning for Medical Imaging tutorial
tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification
useful-computer-vision-phd-resources
Lists of resources useful for my PhD in computer vision
USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
WhileMyMCMCGentlySamples
my blog