rachzhang

rachzhang's Stars

• AnacletoLAB/grape

  🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

  Language:Jupyter Notebook52738

• googleapis/google-cloud-python

  Google Cloud Client Library for Python

  Language:Python4.8k1.5k

• datares/neodgl

  semi supervised node classification on neo4j database

  Language:Jupyter Notebook225

• johnmyleswhite/BanditsBook

  Code for my book on Multi-Armed Bandit Algorithms

  Language:R893264

• kojino/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  3.7k1.3k

• shafaypro/CrackingMachineLearningInterview

  A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

  431111

• o19s/elasticsearch-learning-to-rank

  Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

  Language:Java1.5k370

• jiangnanboy/learning_to_rank

  利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

  Language:Python25772

• etiennekintzler/visualize_bandit_algorithms

  Some visualizations of bandit algorithm outputs.

  Language:Jupyter Notebook85

• dvgodoy/PyTorchStepByStep

  Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

  Language:Jupyter Notebook858324

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell50.9k11.4k

• mlops-guide/mlops-guide.github.io

  🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.

  Language:JavaScript24637

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.5k1.9k

• kelvins/awesome-mlops

  :sunglasses: A curated list of awesome MLOps tools

  Language:Python4k562

• adrian-lison/gnn-community-detection

  Graph Neural Networks for Community Detection

  Language:Jupyter Notebook6014

• siqichen-usc/LeetCode-SQL-Summary

  *Summary of 102 LeetCode SQL questions* This note aims to help people learn and review SQL efficiently. The first draft mainly focuses on T-SQL/MS SQL Server.

  Language:TSQL344117

• cM2908/leetcode-sql

  Leetcode SQL Solutions

  Language:PLpgSQL17153

• heathersherry/Knowledge-Graph-Tutorials-and-Papers

  Insightful Tutorials and Papers about Knowledge Graphs

  734114

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python271k45.8k

• qdrant/vector-db-benchmark

  Framework for benchmarking vector search engines

  Language:Python26977

• varunshenoy/GraphGPT

  Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

  Language:JavaScript4.3k387

• chiphuyen/dmls-book

  Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

  2.2k322

• facebookresearch/faiss

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

  Language:C++30.7k3.6k

• jonathandinu/spark-ray-data-science

  Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with Spark and Ray in the context of a data scientist's standard workflow.

  Language:Jupyter Notebook484

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7.2k567

• SebastianMantey/Deep-Learning-Tutorial

  Language:Jupyter Notebook919

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  2.9k489

• antoine-hochart/bandit_algo_evaluation

  Offline evaluation of multi-armed bandit algorithms

  Language:Python224

• antonismand/Personalized-News-Recommendation

  Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

  Language:Jupyter Notebook9324

• patrickloeber/MLfromscratch

  Machine Learning algorithm implementations from scratch.

  Language:Python1.3k526