Alternatives and similar repositories for beefly

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

• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 6 years ago
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 6 years ago
• Hourout / tensorview
  Dynamic visualization training service in Jupyter Notebook for Keras, tf.keras and others.
  ☆15Updated 3 years ago
• bojone / keras_radam
  RAdam optimizer for keras
  ☆71Updated 6 years ago
• Hourout / linora
  Simple and efficient tools for data science.
  ☆12Updated last year
• DataXujing / tensorflow-serving-Wechat
  tensorflow serving and deep model online https://dataxujing.github.io/tensorflow-serving-Wechat/?transition=convex#/
  ☆19Updated 6 years ago
• CyberZHG / keras-adabound
  AdaBound optimizer in Keras
  ☆56Updated 5 years ago
• arthurdouillard / keras-snapshot_ensembles
  Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)
  ☆26Updated 7 years ago
• Godricly / comment_toxic_CapsuleNet
  ☆24Updated 7 years ago
• ServiceNow / multithreaded-estimators
  Multithreading inference in Tensorflow Estimators. This is a ServiceNow Research project that was started at Element AI.
  ☆57Updated 3 years ago
• YJango / TFRecord-Dataset-Estimator-API
  Examples about How to import data from tfrecord files using dataset API.
  ☆104Updated 6 years ago
• Li-Ming-Fan / text_classification
  Text classification models: cnn, self-attention, cnn-rnf, rnn-att, capsule-net. TensorFlow. Single GPU or multi GPU
  ☆19Updated 5 years ago
• secsilm / understaing-datasets-estimators-tfrecords
  Try to use tf.estimator and tf.data together to train a cnn model.
  ☆77Updated 7 years ago
• bojone / baidu_dog_classifier
  ☆12Updated 8 years ago
• mmxmb / keras_ensemblng
  Ensembling ConvNets using Keras
  ☆75Updated 6 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• hiveml / simple-ml-serving
  Simple step-by-step guide to deploying deep learning models to production.
  ☆174Updated 7 years ago
• aaxwaz / Serving-TensorFlow-Model
  Train, save and serve a linear regression model in TensorFlow
  ☆32Updated 5 years ago
• jasonfreak / ple
  基于sklearn，强化Pipeline和FeatureUnion两个类。对FeatureUnion类，使其支持部分数据处理；对两者，增加特征转换行为记录的功能。
  ☆29Updated 9 years ago
• zhanzecheng / Implement_of_Statistical_learning
  python3实现的《统计学习方法》
  ☆21Updated 6 years ago
• bojone / keras_lookahead
  lookahead optimizer for keras
  ☆171Updated 6 years ago
• ksalama / 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…
  ☆52Updated 7 years ago
• yuanjie-ai / tql-Python
  思维误区: 用理想模型来思考复杂现实问题
  ☆39Updated 5 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆91Updated 6 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago
• hawhuang / xgboost_realtime_predict_test
  xgboost在线预测
  ☆30Updated 8 years ago
• daxiongshu / kaggle-review
  ☆24Updated 7 years ago
• bojone / accum_optimizer_for_keras
  wrapping a keras optimizer to implement gradient accumulation
  ☆119Updated 5 years ago
• stevezheng23 / bert_extension_tf
  BERT Extension in TensorFlow
  ☆30Updated 6 years ago