Pinned Repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
ANA500
McDaniel College MS in Analytics Coursework
ANA505
ANA 505 Foundations in Data Mining
ANA515_public
For HW submissions
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
aws-workshop
Materials for an introductory AWS Workshop in Large Scale Data Methods - Fall 2018
nice_things
We Can Have Nice Things
AlexanderTyan's Repositories
AlexanderTyan/ANA500
McDaniel College MS in Analytics Coursework
AlexanderTyan/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
AlexanderTyan/ANA505
ANA 505 Foundations in Data Mining
AlexanderTyan/ANA515_public
For HW submissions
AlexanderTyan/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
AlexanderTyan/awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
AlexanderTyan/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
AlexanderTyan/backoff
Python library providing function decorators for configurable backoff and retry
AlexanderTyan/CalculatorLibrary
A repo to test Continuous Integration techniques
AlexanderTyan/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
AlexanderTyan/data-science
:bar_chart: Path to a free self-taught education in Data Science!
AlexanderTyan/data-science-interviews
Data science interview questions and answers
AlexanderTyan/docker_demo
AlexanderTyan/docker_tutorial
AlexanderTyan/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.
AlexanderTyan/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
AlexanderTyan/hello-world
ANA 505 Test Repo
AlexanderTyan/Introduction_to_statistical_learning_summary_python
Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
AlexanderTyan/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
AlexanderTyan/manim-slides
Tool for live presentations using manim
AlexanderTyan/mitx-ds-capstone-cheatsheets
Cheatsheets for the MITx Data Science & Statistics Capstone Exams
AlexanderTyan/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
AlexanderTyan/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
AlexanderTyan/nebullvm
Plug and play modules to optimize the performances of your AI systems 🚀
AlexanderTyan/persp-model_W18
Course site for MACS 30100 (Winter 2018) - Perspectives on Computational Modeling
AlexanderTyan/PrivacyEngCollabSpace
Privacy Engineering Collaboration Space
AlexanderTyan/Source
AlexanderTyan/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
AlexanderTyan/table-transformer
Model training and evaluation code for our dataset PubTables-1M, developed to support the task of table extraction from unstructured documents.
AlexanderTyan/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.