hongkunz1's repositories
anomaly_transformer_pytorch
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
dissipative_hnns
Training neural networks to disentangle conservative and dissipative dynamics
dynamic-systems-DL
Collection of resources that combine dynamic systems, control with deep learning.
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。
gluon-ts
Probabilistic time series modeling in Python
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
OrderChaosHNN
Hamiltonian neural network implementation for Henon Heiles dynamical system learning mix of order and chaos
PortHNN
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems
Python
All Algorithms implemented in Python
Python-100-Days
Python - 100天从新手到大师
Pytorch-Transfomer
My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Stochastic-Processes
My book: Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
tts-gan
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network