FushineX's repositories
lama-image_mask-
đŚ 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`.
google-research
Google Research
plotly.py
The interactive graphing library for Python (includes Plotly Express) :sparkles:
Segmentation-Pytorch
Semantic Segmentation in Pytorch. Network include: FCNăFCN_ResNetăSegNetăUNetăBiSeNetăBiSeNetV2ăPSPNetăDeepLabv3_plusă HRNetăDDRNet
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.