thunder-project / thunder
scalable analysis of images and time series
☆815Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for thunder
- Unified interface for local and distributed ndarrays☆158Updated 6 years ago
- Simplifying robust end-to-end machine learning on Apache Spark.☆469Updated 7 years ago
- An external PySpark module that works like R's read.csv or Panda's read_csv, with automatic type inference and null value handling. Parse…☆90Updated 9 years ago
- Sparkling Pandas☆361Updated last year
- Distributed Neural Networks for Spark☆604Updated 4 years ago
- Distributed Deep Learning on Spark☆402Updated 8 years ago
- Visualize streaming machine learning in Spark☆176Updated 7 years ago
- TensorFlow on Spark☆297Updated 7 years ago
- PySpark + Scikit-learn = Sparkit-learn☆1,154Updated 3 years ago
- PySpark Cassandra brings back the fun in working with Cassandra data in PySpark.☆79Updated 7 years ago
- Content for architecting a data science platform for products using Luigi, Spark & Flask.☆163Updated 4 years ago
- ☆110Updated 7 years ago
- A pure Python implementation of Apache Spark's RDD and DStream interfaces.☆262Updated 2 months ago
- ☆146Updated 8 years ago
- Scikit-learn compatible tools using theano☆364Updated 7 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- A domain-general, Bayesian method for analyzing high-dimensional data tables☆322Updated 8 months ago
- Rapid Machine Learning Prototyping in Python☆650Updated 9 years ago
- PyData Seattle 2015: Python Data Bikeshed☆127Updated 9 years ago
- reproducible executable environments☆443Updated 7 years ago
- Data sets for machine learning in Python☆474Updated 7 years ago
- Live-updating Spark UI built with Meteor☆190Updated 3 years ago
- Describing statistical models in Python using symbolic formulas☆954Updated this week
- Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning☆295Updated 8 years ago