Alternatives and similar repositories for pandas-tfrecords

Users that are interested in pandas-tfrecords are comparing it to the libraries listed below

• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆53Updated last year
• google / tensorflow-recorder
  TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured d…
  ☆180Updated 3 years ago
• NVIDIA-Merlin / systems
  Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…
  ☆94Updated last year
• dmmiller612 / sparktorch
  Train and run Pytorch models on Apache Spark.
  ☆341Updated 2 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆59Updated 6 years ago
• dask / dask-lightgbm
  ☆78Updated 4 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆145Updated last year
• RedisAI / redisai-py
  Python client for RedisAI
  ☆88Updated 2 years ago
• linkedin / gdmix
  A deep ranking personalization framework
  ☆133Updated 2 years ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆175Updated last year
• coveooss / SIGIR-ecom-data-challenge
  ☆104Updated last year
• psarka / uplift
  ☆34Updated 7 years ago
• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆83Updated 3 weeks ago
• balavenkatesh3322 / model_deployment
  A collection of model deployment library and technique.
  ☆72Updated 5 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• catalyst-team / reaction
  Convenient DL serving
  ☆72Updated 4 years ago
• NVIDIA-Merlin / models
  Merlin Models is a collection of deep learning recommender system model reference implementations
  ☆289Updated last year
• NVIDIA-Merlin / competitions
  Solutions to Recommender Systems competitions
  ☆199Updated 3 years ago
• hanneshapke / TensorFlow-World-Adv-Introduction-TF-Serving
  This repository contains all code examples for my TensorFlow World talk about "Advanced model deployments with TensorFlow Serving"
  ☆17Updated 2 years ago
• makgyver / rectorch
  rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
  ☆150Updated 4 years ago
• datamllab / AutoRec
  ☆50Updated 2 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 5 years ago
• google-research / recsim_ng
  RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
  ☆122Updated 3 years ago
• sllynn / spark-xgboost
  A Python wrapper for XGBoost4J-Spark classes.
  ☆47Updated last year
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆177Updated 9 months ago
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• NVIDIA-Merlin / gcp-ml-ops
  MLOps pipeline for NVIDIA Merlin on GKE
  ☆41Updated 4 years ago