FushineX

lama-image_mask-

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions (WACV2022)

recurrent-neural-network-pricing-model

Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

FushineX

Config files for my GitHub profile.

gee_monkey

Batch export Google Earth Engine (GEE) tasks with `Tampermonkey`.

genshin-impact-picker

google-research

Google Research

plotly.py

The interactive graphing library for Python (includes Plotly Express) :sparkles:

Segmentation-Pytorch

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

Time-Series-Forecasting-LSTM

Time series forecasting using LSTM in Python

UNet-Segmentation-in-Keras-TensorFlow

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.