jobinregina / ChaosLinks
Using machine learning techniques for prediction and modelling non linear dynamic systems.
☆9Updated 7 years ago
Alternatives and similar repositories for Chaos
Users that are interested in Chaos are comparing it to the libraries listed below
Sorting:
- This dataset consists of domestic Fire and Smoke images.☆11Updated 3 years ago
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆252Updated 10 months ago
- ☆21Updated 2 years ago
- Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex☆196Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆83Updated last year
- Large-Scale Scene Text Dataset for Indic Languages☆15Updated 3 months ago
- TKAN: Temporal Kolmogorov-Arnold Networks☆211Updated 7 months ago
- This project related to one of my B.Tech final year project that investigates the influence of linguistic and sentiment analysis features…☆13Updated last year
- ☆16Updated 7 years ago
- FC-KAN: Function Combinations in Kolmogorov-Arnold Networks☆37Updated 3 weeks ago
- Time series forecasting via deep reinforcement learning☆55Updated 5 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆95Updated 2 years ago
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.o…☆45Updated 5 years ago
- Non-Linear Dynamic Systems☆28Updated 4 years ago
- ☆243Updated 4 months ago
- Extreme Learning Machine(ELM): Python code☆42Updated 7 years ago
- Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.☆76Updated 3 years ago
- This repo contains the Pytorch implementation of the AAAI'18 paper - Deep Reinforcement Learning for Unsupervised Video Summarization wit…☆11Updated 2 years ago
- In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Tw…☆88Updated 6 months ago
- ClaSPy: A Python package for time series segmentation.☆118Updated this week
- Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)☆45Updated 5 years ago
- Codes and images used for blog post at https://medium.com/p/genetic-algorithm-to-optimize-machine-learning-hyperparameters-72bd6e2596fc?s…☆15Updated 4 years ago
- Physics Informed Neural Network for Time Series Forecasting☆13Updated 2 years ago
- Book and material for the course "Time series analysis with Python" (STA-2003)☆149Updated 3 weeks ago
- Text Detection using Pretrained CRAFT model in MATLAB☆14Updated last year
- Deep Learning Implementations☆18Updated 4 years ago
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆27Updated 2 months ago
- Multivariate Regression and Classification Using an Adaptive Neuro-Fuzzy Inference System (Takagi-Sugeno) and Particle Swarm Optimization…☆51Updated 3 years ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆148Updated last month
- How to use XGBoost for multi-step time series forecasting☆40Updated 2 years ago