Alternatives and similar repositories for Willump:

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

• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 4 years ago
• All-less / continuum
  A platform for online learning that curtails data latency and saves you cost.
  ☆47Updated 3 years ago
• easeml / automl
  A Scalable Auto-ML System
  ☆51Updated 2 years ago
• fabuzaid21 / yggdrasil
  Yggdrasil: Faster Decision Trees Using Column Partitioning in Spark
  ☆31Updated 6 years ago
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆33Updated 3 years ago
• arapat / sparrow
  Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…
  ☆21Updated 4 years ago
• ucbrise / flor
  🌻 Flow with FlorDB
  ☆151Updated last month
• NVIDIA / gbm-bench
  A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.
  ☆38Updated 2 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…
  ☆18Updated 6 years ago
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 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
  ☆52Updated last year
• jaanli / deep-exponential-families-gluon
  Deep exponential family models in MXNet/Gluon. Layers o' latents 💤
  ☆17Updated 7 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• RAMitchell / GBM-Benchmarks
  ☆23Updated 4 years ago
• SeldonIO / mlgraph
  Machine Learning Inference Graph Spec
  ☆21Updated 5 years ago
• kubeflow / xgboost-operator
  Incubating project for xgboost operator
  ☆76Updated 3 years ago
• ucbrise / risecamp
  RISECamp Tutorials
  ☆38Updated 5 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• cuMF / culda_cgs
  Efficient LDA solution on GPUs.
  ☆24Updated 6 years ago
• google / nitroml
  NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…
  ☆42Updated 3 years ago
• awslabs / ml-experiments-schema
  A JSON-based schema for storing declarative descriptions of machine learning experiments
  ☆45Updated 7 years ago
• alexgittens / alchemist
  Alchemist: an Apache Spark<->MPI interface
  ☆26Updated 6 years ago
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated last year
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆42Updated last year
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 8 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 7 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆39Updated 5 years ago