JanHomann

JanHomann's Stars

• TDAmeritrade/stumpy

  STUMPY is a powerful and scalable Python library for modern time series analysis

  Language:Python3.6k319

• NeurodataWithoutBorders/pynwb

  A Python API for working with Neurodata stored in the NWB Format

  Language:Python17685

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.5k4.7k

• MilesCranmer/PySR

  High-Performance Symbolic Regression in Python and Julia

  Language:Python2.3k210

• lllyasviel/Fooocus

  Focus on prompting and generating

  Language:Python40.2k5.6k

• datamllab/tods

  TODS: An Automated Time-series Outlier Detection System

  Language:Python1.4k192

• bettinakeller/CNNClustering

  Common nearest neighbor clustering

  Language:Python12

• scikit-learn-contrib/scikit-learn-extra

  scikit-learn contrib estimators

  Language:Python18542

• ZigaSajovic/Consensus_Clustering

  An implementation of Consensus clustering in Python

  Language:Python5716

• cokelaer/fitter

  Fit data to many distributions

  Language:Python36456

• bashtage/linearmodels

  Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

  Language:Python930184

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.4k1.4k

• google-deepmind/funsearch

  Language:Jupyter Notebook695126

• pytholic/Machine-Learning-Curriculum

  A concise and comprehensive A to Z curriculum for machine learning.

  597

• tslearn-team/tslearn

  The machine learning toolkit for time series analysis in Python

  Language:Python2.9k336

• google/temporian

  Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖

  Language:Python66343

• EducationalTestingService/factor_analyzer

  A Python module to perform exploratory & confirmatory factor analyses.

  Language:Python22868

• sigsep/open-unmix-pytorch

  Open-Unmix - Music Source Separation for PyTorch

  Language:Python1.2k182

• bl0/clustering_science

  Python implementation of "Clustering by fast search and find of density peaks".

  Language:Jupyter Notebook2

• scikit-learn-contrib/denmune-clustering-algorithm

  DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on a single parameter K (the number of nearest neighbors). The results show the superiority of DenMune. Enjoy the simplicty but the power of DenMune.

  Language:Jupyter Notebook299

• XifengGuo/DEC-keras

  Keras implementation for Deep Embedding Clustering (DEC)

  Language:Python477162

• cravisjan97/Deep-Clustering

  A Convolutional Neural Network based model for Unsupervised Learning

  Language:Python3310

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.8k415

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.3k1k

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python1.1k200

• lucidrains/iTransformer

  Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

  Language:Python41335

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.2k172

• tejaslodaya/timeseries-clustering-vae

  Variational Recurrent Autoencoder for timeseries clustering in pytorch

  Language:Python45279

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python3.9k268

• OpenBMB/ChatDev

  Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

  Language:Shell25.2k3.1k