PayalGodse

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

haystack

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

system_design

Preparation links and resources for system design questions

Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

Leetcode_company_frequency

Collection of leetcode company tag problems. Periodically updating.

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Data-Science-Interview-Questions-Answers

Curated list of data science interview questions and answers

ML-Notebooks

:fire: Machine Learning Notebooks

MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

data-science-question-answer

A repo for data science related questions and answers

ratelimit

Go/gRPC service designed to enable generic rate limit scenarios from different types of applications.

cs224u

Code for Stanford CS224u

neural-network-papers

dask-tutorial

Dask tutorial

pyspark-example-project

Implementing best practices for PySpark ETL jobs and applications.

Coursera-Machine-Learning-Stanford

Machine learning-Stanford University

bertsearch

Elasticsearch with BERT for advanced document search.

learningPySpark

Code base for the Learning PySpark book (in preparation)

pyspark-tutorials

Code snippets and tutorials for working with social science data in PySpark

realtime-embeddings-matching

MachineLearning

A repo with tutorials for algorithms from scratch