liudragonfly

liudragonfly's Stars

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python61.8k1.1k010.9k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.9k6241798.1k

• 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++26.1k9095.3k8.7k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.4k2k264.5k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.6k1.3k1013.6k

• chiphuyen/stanford-tensorflow-tutorials

  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

  Language:Python10.3k6221084.3k

• harelba/q

  q - Run SQL directly on delimited files and multi-file sqlite databases

  Language:Python10.2k167225421

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10k2272802.2k

• brightmart/text_classification

  all kinds of text classification models and more with deep learning

  Language:Python7.8k2991242.6k

• NicolasHug/Surprise

  A Python scikit for building and analyzing recommender systems

  Language:Python6.4k1453831k

• guoguibing/librec

  LibRec: A Leading Java Library for Recommender Systems, see

  Language:Java3.2k2342561k

• 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++3.1k110301518

• phanein/deepwalk

  DeepWalk - Deep Learning for Graphs

  Language:Python2.7k84111828

• thunlp/NRLPapers

  Must-read papers on network representation learning (NRL) / network embedding (NE)

  Language:TeX2.5k2499645

• scikit-learn-contrib/category_encoders

  A library of sklearn compatible categorical variable encoders

  Language:Python2.4k38290393

• koth/kcws

  Deep Learning Chinese Word Segment

  Language:C++2.1k165123648

• Arturus/kaggle-web-traffic

  1st place solution

  Language:Jupyter Notebook1.8k7538667

• zhougr1993/DeepInterestNetwork

  Language:Python1.6k4090557

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

  Language:Python1.4k521222

• ducha-aiki/caffenet-benchmark

  Evaluation of the CNN design choices performance on ImageNet-2012.

  Language:Jupyter Notebook741779155

• HouJP/kaggle-quora-question-pairs

  Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

  Language:Python7303621261

• lambdaji/tf_repos

  TensorFlow Script

  Language:Python6824443318

• liudragonfly/GBDT

  A simple GBDT in Python

  Language:Python3531313193

• stasi009/Recommend-Estimators

  Classical RecSys algorithms implemented by using TensorFlow Estimators

  Language:Python1845374