Alternatives and similar repositories for Willump

Users that are interested in Willump are comparing it to the libraries listed below

• ucbrise / flor
  FlorDB 🌻
  ☆155Updated last month
• google / nitroml
  NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…
  ☆43Updated 4 years ago
• easeml / automl
  A Scalable Auto-ML System
  ☆55Updated 2 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• All-less / continuum
  A platform for online learning that curtails data latency and saves you cost.
  ☆47Updated 3 years ago
• HDI-Project / FeatureHub
  A collaborative feature engineering system built on JupyterHub
  ☆94Updated 6 years ago
• linkedin / gdmix
  A deep ranking personalization framework
  ☆133Updated 2 years ago
• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆71Updated last month
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 years ago
• d18s / awesome-machine-learning-engineering
  A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning eng…
  ☆19Updated 7 years ago
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆53Updated 2 years ago
• criteo / Spark-RSVD
  Randomized SVD of large sparse matrices on Spark
  ☆77Updated 3 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• fabuzaid21 / yggdrasil
  Yggdrasil: Faster Decision Trees Using Column Partitioning in Spark
  ☆30Updated 7 years ago
• dask / dask-xgboost
  ☆162Updated 4 years ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆89Updated 7 years ago
• ModelChimp / modelchimp
  Experiment tracking for machine and deep learning projects
  ☆128Updated 2 years ago
• stanford-futuredata / wmsketch
  Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).
  ☆39Updated 7 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 7 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆188Updated 6 years ago
• fomorians / tfstage
  TFStage: TensorFlow Project Scaffolding
  ☆62Updated 5 years ago
• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆91Updated last year
• Nth-iteration-labs / streamingbandit
  Python application to setup and run streaming (contextual) bandit experiments.
  ☆83Updated 2 months ago
• gingsmith / proxcocoa
  A primal-dual framework for distributed L1-regularized optimization
  ☆36Updated 9 years ago
• fridiculous / estimators
  Machine Learning Versioning made Simple
  ☆38Updated 3 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 4 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• sjyk / datacleaning-benchmark
  ☆40Updated 9 years ago