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Karen Ng (karenyyng)

karenyyng

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Home Page:http://karenyyng.github.io/

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Karen Ng's starred repositories

Python

All Algorithms implemented in Python

Language:PythonLicense:MITStargazers:194572Issues:5941Issues:1540

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

Language:TypeScriptLicense:MITStargazers:119221Issues:2121Issues:103

langchain

🦜🔗 Build context-aware reasoning applications

Language:Jupyter NotebookLicense:MITStargazers:95211Issues:691Issues:7893

streamlit

Streamlit — A faster way to build and share data apps.

Language:PythonLicense:Apache-2.0Stargazers:35839Issues:320Issues:4662

faiss

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

Language:C++License:MITStargazers:31580Issues:479Issues:2523

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Language:PythonLicense:NOASSERTIONStargazers:24034Issues:418Issues:296

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Language:PythonLicense:MITStargazers:20232Issues:307Issues:1378

data-science-interviews

Data science interview questions and answers

Language:HTMLLicense:CC-BY-4.0Stargazers:8963Issues:225Issues:16

generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:8155Issues:170Issues:214

instructor

structured outputs for llms

Language:PythonLicense:MITStargazers:7729Issues:48Issues:309

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:PythonLicense:MITStargazers:7139Issues:139Issues:478

anthropic-cookbook

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Language:Jupyter NotebookLicense:MITStargazers:6926Issues:245Issues:40

causalml

Uplift modeling and causal inference with machine learning algorithms

Language:PythonLicense:NOASSERTIONStargazers:5107Issues:86Issues:398

tree-of-thoughts

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

Language:PythonLicense:Apache-2.0Stargazers:4363Issues:51Issues:69

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Language:Jupyter NotebookLicense:MITStargazers:3628Issues:56Issues:95

Data-Science-Interview-Questions-Answers

Curated list of data science interview questions and answers

Stargazers:3422Issues:59Issues:5

Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

License:MITStargazers:2785Issues:46Issues:6

nbdime

Tools for diffing and merging of Jupyter notebooks.

Language:TypeScriptLicense:NOASSERTIONStargazers:2679Issues:42Issues:346

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1896Issues:50Issues:28

optimus

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Language:PythonLicense:Apache-2.0Stargazers:1481Issues:37Issues:218

mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

Language:PythonLicense:Apache-2.0Stargazers:1267Issues:45Issues:149

trustworthyAI

Trustworthy AI related projects

Language:PythonLicense:Apache-2.0Stargazers:973Issues:21Issues:106

Transformers-for-NLP-2nd-Edition

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Language:Jupyter NotebookLicense:MITStargazers:811Issues:22Issues:5

deeplearning.ai

Some work of Andrew Ng's course on Coursera

Language:Jupyter NotebookStargazers:694Issues:21Issues:15

ios-demo-app

PyTorch iOS examples

Language:SwiftLicense:NOASSERTIONStargazers:600Issues:20Issues:58

References_Books

My awseome reference books library

Language:HTMLLicense:MITStargazers:572Issues:18Issues:1

Voice-Converter-CycleGAN

Voice Converter Using CycleGAN and Non-Parallel Data

Language:PythonLicense:MITStargazers:526Issues:12Issues:36

pixyz

A library for developing deep generative models in a more concise, intuitive and extendable way

Language:Jupyter NotebookLicense:MITStargazers:491Issues:44Issues:35

flake8-import-order

Flake8 plugin that checks import order against various Python Style Guides

Language:PythonLicense:LGPL-3.0Stargazers:278Issues:10Issues:102

acv00

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

Language:Jupyter NotebookLicense:MITStargazers:100Issues:10Issues:10