flyzaway

flyzaway's Stars

• tss-ml/cvrdd

  Language:Jupyter Notebook51

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7k923

• grf-labs/grf

  Generalized Random Forests

  Language:C++953249

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook24.7k3.2k

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5k767

• oywtece/gme

  Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction

  Language:Python365

• zoulixin93/FMCTS

  Language:Python113

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.8k5k

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k428

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown125k23.2k

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4k624

• st-tech/zr-obp

  Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

  Language:Python63587

• JianxinMa/clrec_v1.0

  Language:Python145

• DeepGraphLearning/RecommenderSystems

  Language:Python1.1k276

• Bradley16/SML

  Symmetric Metric Learning with Adaptive Margin for Recommendation

  1

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.6k351

• sudharsan13296/Awesome-Meta-Learning

  A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

  1.5k299

• alibaba/graph-learn

  An Industrial Graph Neural Network Framework

  Language:C++1.3k267

• oywtece/dstn

  Deep Spatio-Temporal Neural Network (DSTN)

  Language:Python16855

• oywtece/deepmcp

  Deep Matching, Correlation and Prediction (DeepMCP) Model

  Language:Python12539

• lxgithub24/DeepNeuralNetworksforYouTubeRecommendationsImpl

  youtube video recommendation（generation 4）

  Language:Python219

• 99731/M2GRL

  A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

  Language:Python9723

• UIC-Paper/MIMN

  Language:Python28392

• slientGe/Sequential_Recommendation_Tensorflow

  Several sequential recommended models implemented by tenosrflow1.x

  Language:Python11724

• fajieyuan/SIGIR2020_peterrec

  Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling

  Language:Python19836

• RUCAIBox/CIKM2020-S3Rec

  Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

  Language:Python23634

• ymkigeg/tensorflow_serving

  show how to use tensorflow estimator train and export model, then serving model and call for prediction

  Language:Java2518

• yangxudong/deeplearning

  深度学习相关的模型训练、评估和预测相关代码

  Language:Python1k378

• THUIR/PreHash

  Language:Python6111

• DA-southampton/Tech_Aarticle

  主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

  1.7k325