timoschowski

timoschowski's Stars

• unitycatalog/unitycatalog

  Open, Multi-modal Catalog for Data & AI

  Language:Java2.6k415

• canerturkmen/isf-deep-learning-workshop-2024

  Hands-on session for the ISF Workshop on Deep Learning, Foundation Models and AutoML for Forecasting

  Language:Jupyter Notebook61

• amazon-science/chronos-forecasting

  Chronos: Pretrained Models for Probabilistic Time Series Forecasting

  Language:Python2.8k311

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python3.2k370

• kashif/pytorch-transformer-ts

  Repository of Transformer based PyTorch Time Series Models

  Language:Jupyter Notebook29742

• syne-tune/syne-tune

  Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

  Language:Python39351

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python73.5k6.4k

• awslabs/sagemaker-deep-demand-forecast

  Using Deep Learning for Demand Forecasting with Amazon SageMaker

  Language:Python8427

• lovvge/Forecasting-Tutorials

  Language:Jupyter Notebook228

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.3k196

• whylabs/whylogs

  An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

  Language:Jupyter Notebook2.7k121

• whylabs/whylogs-java

  Profile and monitor your ML data pipeline end-to-end

  Language:Java1787

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python24.4k4.4k

• aws-samples/amazon-forecast-samples

  Notebooks and examples on how to onboard and use various features of Amazon Forecast.

  Language:Jupyter Notebook520369

• tidyverts/fable

  Tidy time series forecasting

  Language:R56465

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.7k762

• robjhyndman/forecast

  Forecasting Functions for Time Series and Linear Models

  Language:R1.1k341

• awslabs/sockeye

  Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

  Language:Python1.2k323

• awslabs/deequ

  Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

  Language:Scala3.3k542