WangHanbin

WangHanbin's Stars

• TheAlgorithms/C-Plus-Plus

  Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  Language:C++30.1k7.1k

• boat-group/fancy-nlp

  NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

  Language:Python28142

• vahidk/EffectivePyTorch

  PyTorch tutorials and best practices.

  1.6k165

• deep-learning-with-pytorch/dlwpt-code

  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

  Language:Jupyter Notebook4.7k2k

• CoreyMSchafer/code_snippets

  Language:Jupyter Notebook10.3k17.6k

• nlohmann/json

  JSON for Modern C++

  Language:C++42.2k6.7k

• MaurizioFD/RecSys2019_DeepLearning_Evaluation

  This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

  Language:Python979248

• ConanCui/Paper-List

  A reading paper list which is mainted daily

  21842

• rob-med/awesome-TS-anomaly-detection

  List of tools & datasets for anomaly detection on time-series data.

  2.9k448

• google/yapf

  A formatter for Python files

  Language:Python13.7k887

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  44.5k10.5k

• wepe/dive-into-ml-system

  Dive into machine learning system, start from reinventing the wheel.

  Language:C++22928

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.4k6k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.5k4.8k

• wnzhang/rtb-papers

  A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

  3.5k924

• yinwenjie1991/candice

  mysql分库分表中间件

  Language:Java181

• aksnzhy/xlearn

  High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

  Language:C++3.1k518

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.5k3.6k

• alexandru/scala-best-practices

  A collection of Scala best practices

  4.4k623

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.2k22.1k

• keras-team/keras

  Deep Learning for humans

  Language:Python61.6k19.4k

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.6k3.6k

• rushter/MLAlgorithms

  Minimal and clean examples of machine learning algorithms implementations

  Language:Python10.7k1.8k

• entron/entity-embedding-rossmann

  Language:Jupyter Notebook872328

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.1k9.8k

• Far0n/xgbfi

  XGBoost Feature Interactions & Importance

  Language:C#49787

• rasbt/mlxtend

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

  Language:Python4.9k857

• erikfrey/bashreduce

  mapreduce in bash

  Language:C91688

• rcrowley/bashreduce

  map/reduce in bash

  Language:C576

• akrizhevsky/cuda-convnet2

  Automatically exported from code.google.com/p/cuda-convnet2

  Language:Cuda774288