Chi-hong22
I am You Ziang, a student in Harbin Engineering University. I want to study in Github and try to make some contributions to the community
Harbin Engineering UniversityChina Harbin
Pinned Repositories
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AI_learn-zh
Homepage for STAT 157 at UC Berkeley
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
BM3D-Denoise
Using BM3D to denoise
BM3D_py
pure Python implement of BM3D
CANN_base
连续吸引子神经网络基本模型Basic Implementation of a Continuous-attractor Neural Network
Dordek-et-al.-Matlab-code
This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-negative PCA" by Yedidyah Dordek, Daniel Soudry, Ron Meir and Dori Derdikman
event-based_vision_resources
DVS事件相机
geektime-books
:books: 极客时间电子书
htm-school-viz
Visualizations supporting HTM School
Chi-hong22's Repositories
Chi-hong22/-
Chi-hong22/AI_learn-zh
Homepage for STAT 157 at UC Berkeley
Chi-hong22/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Chi-hong22/BM3D-Denoise
Using BM3D to denoise
Chi-hong22/BM3D_py
pure Python implement of BM3D
Chi-hong22/CANN_base
连续吸引子神经网络基本模型Basic Implementation of a Continuous-attractor Neural Network
Chi-hong22/Dordek-et-al.-Matlab-code
This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-negative PCA" by Yedidyah Dordek, Daniel Soudry, Ron Meir and Dori Derdikman
Chi-hong22/event-based_vision_resources
DVS事件相机
Chi-hong22/geektime-books
:books: 极客时间电子书
Chi-hong22/htm-school-viz
Visualizations supporting HTM School
Chi-hong22/NeuroGPR
Brain-inspired multimodal hybrid neural network for robot place recognition
Chi-hong22/NeuroSLAM
NeuroSLAM: A Brain inspired SLAM System for 3D Environments
Chi-hong22/NN-SVG
Publication-ready NN-architecture schematics.
Chi-hong22/paper-reading-note
和李沐一起读论文(非官方非完善)
Chi-hong22/Perona-Malik
Perona-Malik diffusion or anisotropic diffusion is a computer vision filtering technique that aims at reducing image noise without reducing the image’s quality in the process. This diffusion technique typically resembles the process that creates a scale space, where an image generates a parameterized family of successively more and more blurred images based on a diffusion process. Each of the resulting images in this filter is given as a convolution between the image and a 2D isotropic Gaussian filter. This diffusion is a linear and space invariant transformation of the original image. Anisotropic diffusion is a much generalized version of the diffusion process. It produces a family of parameterized images where each resulting image is a combination between a filter that depends on the content of the original image and the original image itself. This means that anisotropic diffusion is a linear and space invariant transformation of the original image
Chi-hong22/PeronaMalikDiffusion
Python implementation of the Perona-Malik anisotropic filter for denoising and edge detection
Chi-hong22/SOINN
Self-Organizing Incremental Neural Network implementation with Python自组织增量学习神经网络SOINN
Chi-hong22/spatial-maps
Analysis for spatially modulated spiking activity, e.g. place cells, grid cells
Chi-hong22/Trajectory_Tracking_via_MCAN
Chi-hong22/waypoints
This package allows send differents waypoints to the navigation stack of ROS (kinetic). It can be used with the GUI interface in RVIZ or calling their services.
Chi-hong22/whi_rviz_plugins
Rviz plugins package for showing custom info