Alternatives and similar repositories for model-analysis:

Users that are interested in model-analysis are comparing it to the libraries listed below

• tensorflow / transform
  Input pipeline framework
  ☆985Updated this week
• tensorflow / data-validation
  Library for exploring and validating machine learning data
  ☆768Updated this week
• tensorflow / tfx
  TFX is an end-to-end platform for deploying production ML pipelines
  ☆2,122Updated 3 weeks ago
• tensorflow / adanet
  Fast and flexible AutoML with learning guarantees.
  ☆3,467Updated last year
• tensorflow / lattice
  Lattice methods in TensorFlow
  ☆520Updated 5 months ago
• cerndb / dist-keras
  Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
  ☆624Updated 6 years ago
• tensorflow / io
  Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
  ☆715Updated this week
• tensorflow / ecosystem
  Integration of TensorFlow with other open-source frameworks
  ☆1,373Updated 3 months ago
• GoogleCloudPlatform / tf-estimator-tutorials
  This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardi…
  ☆673Updated 4 months ago
• tensorflow / estimator
  TensorFlow Estimator
  ☆304Updated 11 months ago
• tensorflow / addons
  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
  ☆1,693Updated 4 months ago
• tensorflow / model-optimization
  A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
  ☆1,507Updated this week
• ilkarman / DeepLearningFrameworks
  Demo of running NNs across different frameworks
  ☆1,655Updated 2 years ago
• ucbrise / clipper
  A low-latency prediction-serving system
  ☆1,407Updated 3 years ago
• maxpumperla / elephas
  Distributed Deep learning with Keras & Spark
  ☆1,572Updated last year
• google / ml-metadata
  For recording and retrieving metadata associated with ML developer and data scientist workflows.
  ☆633Updated 2 months ago
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,823Updated 3 years ago
• tobegit3hub / simple_tensorflow_serving
  Generic and easy-to-use serving service for machine learning models
  ☆757Updated 4 years ago
• uber / petastorm
  Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…
  ☆1,810Updated last year
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,866Updated last month
• oracle / graphpipe
  Machine Learning Model Deployment Made Simple
  ☆720Updated 6 years ago
• awslabs / keras-apache-mxnet
  [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support
  ☆289Updated last year
• VertaAI / modeldb
  Open Source ML Model Versioning, Metadata, and Experiment Management
  ☆1,710Updated 5 months ago
• facebookresearch / TensorComprehensions
  A domain specific language to express machine learning workloads.
  ☆1,759Updated last year
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆705Updated 3 years ago
• tmulc18 / Distributed-TensorFlow-Guide
  Distributed TensorFlow basics and examples of training algorithms
  ☆643Updated 6 years ago
• studioml / studio
  Studio: Simplify and expedite model building process
  ☆381Updated 6 months ago
• polyaxon / polyaxon
  MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
  ☆3,591Updated this week
• uber / neuropod
  A uniform interface to run deep learning models from multiple frameworks
  ☆937Updated last year
• tensorflow / neural-structured-learning
  Training neural models with structured signals.
  ☆985Updated 6 months ago