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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

htm-school-viz

Visualizations supporting HTM School

neurogpr

Brain-inspired multimodal hybrid neural network for robot place recognition

neuroslam

NeuroSLAM: A Brain inspired SLAM System for 3D Environments

nn-svg

Publication-ready NN-architecture schematics.

paper-reading-note

和李沐一起读论文（非官方非完善）

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

peronamalikdiffusion

Python implementation of the Perona-Malik anisotropic filter for denoising and edge detection

soinn

Self-Organizing Incremental Neural Network implementation with Python自组织增量学习神经网络SOINN

spatial-maps

Analysis for spatially modulated spiking activity, e.g. place cells, grid cells

trajectory_tracking_via_mcan

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.

whi_rviz_plugins

Rviz plugins package for showing custom info