frankherfert

frankherfert's Stars

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.6k2.1k557.3k

• viatsko/awesome-vscode

  🎨 A curated list of delightful VS Code packages and resources.

  Language:JavaScript25.7k483501.2k

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.9k4353.4k3.8k

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python8.1k1102.7k1.4k

• automl/auto-sklearn

  Automated Machine Learning with scikit-learn

  Language:Python7.7k2141k1.3k

• alteryx/featuretools

  An open source python library for automated feature engineering

  Language:Python7.3k1591k883

• rasbt/mlxtend

  A library of extension and helper modules for Python's data analysis and machine learning libraries.

  Language:Python4.9k116479877

• MegEngine/MegEngine

  MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

  Language:C++4.8k137371541

• dreamquark-ai/tabnet

  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

  Language:Python2.7k39314493

• jdwittenauer/ipython-notebooks

  A collection of IPython notebooks covering various topics.

  Language:Jupyter Notebook2.6k169151.5k

• reiinakano/scikit-plot

  An intuitive library to add plotting functionality to scikit-learn objects.

  Language:Python2.4k6461287

• scikit-learn-contrib/category_encoders

  A library of sklearn compatible categorical variable encoders

  Language:Python2.4k39295396

• tmcw/awesome-geojson

  GeoJSON utilities that will make your life easier.

  2.3k937204

• lambdalisue/jupyter-vim-binding

  Jupyter meets Vim. Vimmer will fall in love.

  Language:JavaScript2.1k45130136

• keplr-io/quiver

  Interactive convnet features visualization for Keras

  Language:JavaScript1.8k5661223

• Kyubyong/numpy_exercises

  Numpy exercises.

  Language:Python1.7k814582

• reiinakano/xcessiv

  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

  Language:Python1.3k5534105

• duxuhao/Feature-Selection

  Features selector based on the self selected-algorithm, loss function and validation method

  Language:Python6732313200

• Murgio/Food-Recipe-CNN

  food image to recipe with deep convolutional neural networks.

  Language:Jupyter Notebook572293131

• limexp/xgbfir

  XGBoost Feature Interactions Reshaped

  Language:Python426271180

• Far0n/kaggletils

  Language:Python381302153

• ArdalanM/pyLightGBM

  Python binding for Microsoft LightGBM

  Language:Jupyter Notebook3412030101

• DenisVorotyntsev/CategoricalEncodingBenchmark

  Benchmarking different approaches for categorical encoding for tabular data

  Language:Jupyter Notebook1723338

• deKeijzer/Multivariate-time-series-models-in-Keras

  This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.

  Language:Jupyter Notebook1406162

• stavskal/ADASYN

  Adaptive Synthetic Sampling Approach for Imbalanced Learning

  Language:Python1307127

• savarin/neural-networks

  practical introduction to Python for neural networks, with keras and tensorflow - Oct 2016

  Language:Jupyter Notebook877042

• happycube/kaggle2017

  Code, notes, etc of completed Kaggle competitions

  Language:Jupyter Notebook222011

• froocpu/poweRbi

  An R-based, httr-style interface for the Power BI REST API.

  Language:R19511

• ml-cyclops/experiment-results-manager

  Language:Python1815

• frankherfert/sloppy

  Language:Python3200