karenyyng's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
d2l-ai/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.
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
alexeygrigorev/data-science-interviews
Data science interview questions and answers
jxnl/instructor
structured outputs for llms
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.
GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
anthropics/anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
kyegomez/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%
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
rbhatia46/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.
jupyter/nbdime
Tools for diffing and merging of Jupyter notebooks.
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
hi-primus/optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
open-mmlab/mmfashion
Open-source toolbox for visual fashion analysis based on PyTorch
huawei-noah/trustworthyAI
Trustworthy AI related projects
Denis2054/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
JudasDie/deeplearning.ai
Some work of Andrew Ng's course on Coursera
pytorch/ios-demo-app
PyTorch iOS examples
aboelkassem/References_Books
My awseome reference books library
leimao/Voice-Converter-CycleGAN
Voice Converter Using CycleGAN and Non-Parallel Data
masa-su/pixyz
A library for developing deep generative models in a more concise, intuitive and extendable way
PyCQA/flake8-import-order
Flake8 plugin that checks import order against various Python Style Guides
salimamoukou/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.