Pinned Repositories
beacon-aug
Cross-library augmentation toolbox supporting 300 operators over 8 libraries + AI transforms
whole_brain_analysis
Artificial-intelligent
In the Pick-up and Drop-off (PD) World, our goal is to design a route from the agent so that it could use the least steps to send all the blocks to drop-off cells. To solve reinforcement learning problems, we use a statistical approach and dynamic programming, especially Q-learning, to estimate the utility of taking actions in the states of the world. The given system setup is run for 6 different experiments that use different learning rates and policies.
DeepEraser
Deep Eraser
GrokkingCodeInterview
Educative.io/Grokking the Coding Interview: Patterns for Coding Questions
Keras-SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
maskscoring_rcnn
Codes for paper "Mask Scoring R-CNN".
MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
PatternRecognition_Matlab
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
xiaoyang-rebecca.github.io
http://xiaoyang-rebecca.github.io
Xiaoyang-Rebecca's Repositories
Xiaoyang-Rebecca/PatternRecognition_Matlab
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
Xiaoyang-Rebecca/GrokkingCodeInterview
Educative.io/Grokking the Coding Interview: Patterns for Coding Questions
Xiaoyang-Rebecca/Artificial-intelligent
In the Pick-up and Drop-off (PD) World, our goal is to design a route from the agent so that it could use the least steps to send all the blocks to drop-off cells. To solve reinforcement learning problems, we use a statistical approach and dynamic programming, especially Q-learning, to estimate the utility of taking actions in the states of the world. The given system setup is run for 6 different experiments that use different learning rates and policies.
Xiaoyang-Rebecca/DeepEraser
Deep Eraser
Xiaoyang-Rebecca/maskscoring_rcnn
Codes for paper "Mask Scoring R-CNN".
Xiaoyang-Rebecca/xiaoyang-rebecca.github.io
http://xiaoyang-rebecca.github.io
Xiaoyang-Rebecca/academic-kickstart
Xiaoyang-Rebecca/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Xiaoyang-Rebecca/AugLy
A data augmentations library for audio, image, text, and video.
Xiaoyang-Rebecca/Basic-Mathematics-for-Machine-Learning
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Xiaoyang-Rebecca/basic2advanceCpp
Xiaoyang-Rebecca/detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
Xiaoyang-Rebecca/detectron2-helpers
Helpers for detectron2
Xiaoyang-Rebecca/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
Xiaoyang-Rebecca/gangealing
Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment (CVPR 2022 Oral, Best Paper Finalist)
Xiaoyang-Rebecca/HousePricing_R
Use R to predict the house price by Linear Regression
Xiaoyang-Rebecca/imgaug-doc
Code and assets to generate the documentation of imgaug
Xiaoyang-Rebecca/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Xiaoyang-Rebecca/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Xiaoyang-Rebecca/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Xiaoyang-Rebecca/myst-parser.example-project
An self contained example project for testing and development of myst syntax using myst-parser
Xiaoyang-Rebecca/NeighborhoodAnalysis
Analyze th spatial relationship of neighbor cell environment of neurons and various glia cells
Xiaoyang-Rebecca/PixelTranslator
We use cGAN to fillin the synthetic colors on gray images of border/vein. And evaluated the reconstruction accuracy by leaf types classification using Alexnet CNN Protopytpe of generate fake image from hand-drawn vein has also been proposed.
Xiaoyang-Rebecca/pymdown-extensions
Extensions for Python Markdown
Xiaoyang-Rebecca/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
Xiaoyang-Rebecca/readthedocs.org
The source code that powers readthedocs.org
Xiaoyang-Rebecca/skimage-tutorials
skimage-tutorials: a collection of tutorials for the scikit-image package.
Xiaoyang-Rebecca/smop
Small Matlab to Python compiler
Xiaoyang-Rebecca/starter-repo
Documentation templates for use in open source and open development projects
Xiaoyang-Rebecca/XiaohuLuVPDetection
This is a Python + OpenCV implementation of the Vanishing Point algorithm by Xiaohu Lu et al. - http://xiaohulugo.github.io/papers/Vanishing_Point_Detection_WACV2017.pdf