yvette1993 Goto Github PK

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

da_dash_hr

danet

dash

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

datastructure

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

fast-depth

depth estimation

gap

gcn

morvanzhou-reinforcement-learning-with-tensorflow

new_model

the new_model is based on fast-depth

pedestrian-detection

static pedestrian detection，Features:Histogram of Oriented Gradients (HOG). Local Binary Pattern (LBP) and Color Self-Similarity (CSS) features ,Co-occurrence Probability Feature (CPF) .Classifier: nest Real AdaBoost Algorithm.Database: INRIA pedestrian database.

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

segmentation

spinningup

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

svsp

Single view stereo matching

tensorflow

The code about Tensorflow

tool

visualizationcnn

Visualization CNN model by Keras.