wangbao0801's Stars
TMElyralab/MuseTalk
MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting
google-deepmind/graphcast
nickkunz/smogn
Synthetic Minority Over-Sampling Technique for Regression
jerrywn121/TianChi_AIEarth
TianChi AIEarth Contest Solution
tableau/TabPy
Execute Python code on the fly and display results in Tableau visualizations:
koldunovn/python_for_geosciences
Introduction to python use in geosciences.
Corezcy/EEMD-LSTM-DO-Prediction
EEMD、LSTM、time series prediction、DO、Deep Learning
laszukdawid/PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
mike-holcomb/PSOkeras
Demonstration of Particle Swarm Optimization as a training algorithm for Keras neural network models as a gradient-free training alternative to backpropagation.
felix-last/kmeans_smote
Oversampling for imbalanced learning based on k-means and SMOTE
jswhit/pygrib
Python interface for reading and writing GRIB data
abdalbassir/LSTM_EMD_PCA_EURUSD
Assessing the Effectiveness of LSTM model with EMD Denoising and PCA for EUR/USD currency
philipperemy/keras-tcn
Keras Temporal Convolutional Network.
Unidata/netcdf-cxx4
Official GitHub repository for netCDF-C++ libraries and utilities.
agronholm/apscheduler
Task scheduling library for Python
vforgione/logging2
A More Pythonic Logging System
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
kanvina/GIS_about
1、实现IDW底层算法；2、实现等值线提取算法
pwcazenave/netcdf2json
Convert netCDF output to JSON for use in earth: http://earth.nullschool.net https://github.com/cambecc/earth https://gitlab.ecosystem-modelling.pml.ac.uk/pica/earth
lyhue1991/eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
majumderb/rezero
Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
sachinruk/KerasQuantileModel
Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
benedekrozemberczki/GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
joeljang/Remaining-Useful-Life-Prediction
Remaining Useful Life prediction of machinery using a novel data wrangling method and CNN-LSTM network for prediction
JeetShah10/Time-Series-Forecasting-using-NN-LSTM-and-CNN
Predicted a stock price close of a day based on the last 7 day’s time series data using Neural Network, LSTM and CNN. Found the best number of the days should be considered in the past that yield the best model. Also, used LSTM to predict the stock prices for a company like Google and Apple for a continuous 5 days period.
millengustavo/time-series-forecasting
Notes on time series forecasting
atifkarim/Time-Series-Forecasting-Using-Machine-Learning-Algorithm
Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.
kristpapadopoulos/seriesnet
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
farizrahman4u/recurrentshop
Framework for building complex recurrent neural networks with Keras