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
  ☆988Updated 2 months ago
• tensorflow / data-validation
  Library for exploring and validating machine learning data
  ☆773Updated 3 months ago
• tensorflow / tfx
  TFX is an end-to-end platform for deploying production ML pipelines
  ☆2,165Updated last week
• tensorflow / io
  Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
  ☆733Updated last month
• tensorflow / lattice
  Lattice methods in TensorFlow
  ☆519Updated last year
• tensorflow / adanet
  Fast and flexible AutoML with learning guarantees.
  ☆3,458Updated last year
• tensorflow / estimator
  TensorFlow Estimator
  ☆300Updated last year
• 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…
  ☆671Updated last year
• oracle / graphpipe
  Machine Learning Model Deployment Made Simple
  ☆718Updated 6 years ago
• tensorflow / ecosystem
  Integration of TensorFlow with other open-source frameworks
  ☆1,372Updated last year
• keras-team / keras-preprocessing
  Utilities for working with image data, text data, and sequence data.
  ☆1,025Updated 3 years ago
• google-research / morph-net
  Fast & Simple Resource-Constrained Learning of Deep Network Structure
  ☆1,033Updated 3 months ago
• tensorflow / addons
  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
  ☆1,707Updated last month
• tobegit3hub / simple_tensorflow_serving
  Generic and easy-to-use serving service for machine learning models
  ☆760Updated 6 months ago
• tensorflow / text
  Making text a first-class citizen in TensorFlow.
  ☆1,273Updated last week
• cerndb / dist-keras
  Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
  ☆623Updated 7 years ago
• google / ml-metadata
  For recording and retrieving metadata associated with ML developer and data scientist workflows.
  ☆660Updated 6 months ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆709Updated 4 years ago
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,905Updated this week
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,561Updated 5 years ago
• ilkarman / DeepLearningFrameworks
  Demo of running NNs across different frameworks
  ☆1,655Updated 2 years ago
• IBM / FfDL
  Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on K…
  ☆692Updated 2 weeks ago
• tmulc18 / Distributed-TensorFlow-Guide
  Distributed TensorFlow basics and examples of training algorithms
  ☆643Updated 7 years ago
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆975Updated last month
• ucbrise / clipper
  A low-latency prediction-serving system
  ☆1,420Updated 4 years ago
• awslabs / multi-model-server
  Multi Model Server is a tool for serving neural net models for inference
  ☆1,019Updated last year
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,823Updated 4 years ago
• maxpumperla / elephas
  Distributed Deep learning with Keras & Spark
  ☆1,573Updated 2 years ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆706Updated 6 months ago
• uber / neuropod
  A uniform interface to run deep learning models from multiple frameworks
  ☆940Updated last year