zwbjtu123's repositories
fft-conv-pytorch
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
tseries-patterns
trend / momentum and other patterns in financial timeseries
timeseers
Time should be taken seer-iously
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
PyHealth
A Python Library for Healthcare AI
tods
TODS: An Automated Time-series Outlier Detection System
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
cvx_short_course
Materials for a short course on convex optimization.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
prml-1
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
google-research
Google Research
practical-statistics-for-data-scientists
Code repository for O'Reilly book
pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
DisVoice
python freamework to extract features from speech
darts
A python library for easy manipulation and forecasting of time series.
MLSTM-FCN
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
aukit
audio toolkit. 好用的语音处理工具箱，包含语音降噪、音频格式转换、特征频谱生成等模块。
tf_fourier_features
Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.
interpretable-ml-book-zh
interpretable-ml-book中文翻译
sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
MTBook
《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods
Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.
awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
deeplearning-models
A collection of various deep learning architectures, models, and tips
timeseries
Time Series package for fastai v2
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
forecasting
Time Series Forecasting Best Practices & Examples