An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomer

AdalFlow: The library to build & auto-optimize any LLM tasks.

This is a repo with links to everything you'd ever want to learn about data science

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

A comprehensive guide to building RAG-based LLM applications for production.

Intro to Kubernetes Workshop

Replication of Bootstrapped Meta-Learning

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A Demonstration using LLMs to Explain Health Records

A playbook for systematically maximizing the performance of deep learning models.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Bootstrapped Meta Gradients in PyTorch

A game theoretic approach to explain the output of any machine learning model.

Collection of leetcode company tag problems. Periodically updating.

Official code: Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks

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.

Official implementation of "Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems" (AISTATS 2023)

From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

The most cited deep learning papers

Libraries, tools and tasks created and used at DeepMind Robotics.

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

A curated list of awesome Machine Learning frameworks, libraries and software.