comparing stand up comedians using natural language processing

PyTorch package for the discrete VAE used for DALL·E.

first base model for full-duplex conversational audio

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

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Learn how to design, develop, deploy and iterate on production-grade ML applications.

The fastai book, published as Jupyter Notebooks

This repository contains mini projects in machine learning with notebook files

A curated list of awesome Deep Learning tutorials, projects and communities.

A curated list of awesome computer vision resources

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Best Practices, code samples, and documentation for Computer Vision.

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

Best Practices on Recommendation Systems

Public repo for the 365 Data Science ML Process Course

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

An app that brings language models directly to your phone.

Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques

Implementing Neural Network from Scratch using only Numpy

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…

State-of-the-Art Text Embeddings

Curated list of data science interview questions and answers

Instantly share an Obsidian note with the full theme exactly like you see in your vault. Data is shared encrypted by default, and only you and the person you send it to have the key.

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,…

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

10 Weeks, 20 Lessons, Data Science for All!

📝 An awesome Data Science repository to learn and apply for real world problems.