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gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
Sparse and discrete interpretability tool for neural networks
[DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template
Curated list of data science interview questions and answers
Code files for advanced LLM Course
Machine Learning Engineering Open Book
Free Data Engineering course!
This is a repo with links to everything you'd ever want to learn about data engineering
Software design principles for machine learning applications
A collection of learning resources for curious software engineers
Code from the mCoding sample videos
High-Resolution 3D Human Digitization from A Single Image.
A demonstration of how Shazam operates, in Python.
Identification of breast cancer in screening mammograms obtained from regular screening to improve the automation of detection in screening mammography enabling radiologists to be more accurate and…
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Deep Learning for Healthcare Specialization
List of companies offering Machine learning and Data Science internships
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
alexmalins / kagglebook
Forked from ghmagazine/kagglebookEnglish translation of the sample code to "Data Analysis Techniques to Win Kaggle" book
Problem sets from practiceprobs.com