zwqjoy

zwqjoy's Stars

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.8k2.6k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.5k987

• scikit-learn-contrib/imbalanced-learn

  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

  Language:Python6.8k1.3k

• kubeflow/kubeflow

  Machine Learning Toolkit for Kubernetes

  Language:TypeScript14.3k2.4k

• hyperopt/hyperopt-sklearn

  Hyper-parameter optimization for sklearn

  Language:Python1.6k272

• maxpumperla/hyperas

  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

  Language:Python2.2k318

• autonomio/talos

  Hyperparameter Experiments with TensorFlow and Keras

  Language:Python1.6k268

• tobegit3hub/advisor

  Open-source implementation of Google Vizier for hyper parameters tuning

  Language:Jupyter Notebook1.5k257

• tensorflow/adanet

  Fast and flexible AutoML with learning guarantees.

  Language:Jupyter Notebook3.5k527

• keras-team/autokeras

  AutoML library for deep learning

  Language:Python9.1k1.4k

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.3k8.7k

• ufoym/deepo

  Setup and customize deep learning environment in seconds.

  Language:Python6.3k749

• taizilongxu/interview_python

  关于Python的面试题

  Language:Shell16.6k5.5k

• donnemartin/interactive-coding-challenges

  120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

  Language:Python29.5k4.5k

• imtiantian/Python_Awesome_Interview

  这个是自己日常改写和积累的python资料：本次资料提供大量的python面试的准备资料，包括常用的python版本代码段、python网络编程的各个部分的实现方式、python版本的设计模式、以及最最会考的令人头痛的算法问题（python版本）

  Language:Python199127

• WillKoehrsen/machine-learning-project-walkthrough

  An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

  Language:Jupyter Notebook1.1k560

• WillKoehrsen/automated-feature-engineering

  Automated feature engineering in Python with Featuretools

  Language:Jupyter Notebook520292

• WillKoehrsen/feature-selector

  Feature selector is a tool for dimensionality reduction of machine learning datasets

  Language:Jupyter Notebook2.2k769

• jdwittenauer/ipython-notebooks

  A collection of IPython notebooks covering various topics.

  Language:Jupyter Notebook2.6k1.5k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k45.8k

• dennybritz/cnn-text-classification-tf

  Convolutional Neural Network for Text Classification in Tensorflow

  Language:Python5.6k2.8k

• tensorflow/workshops

  A few exercises for use at events.

  Language:Jupyter Notebook1.5k678