afshinea / stanford-cs-221-artificial-intelligenceLinks
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
☆2,748Updated 5 years ago
Alternatives and similar repositories for stanford-cs-221-artificial-intelligence
Users that are interested in stanford-cs-221-artificial-intelligence are comparing it to the libraries listed below
Sorting:
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,584Updated 5 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,255Updated 5 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆754Updated 4 years ago
- Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence☆907Updated 2 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,782Updated 5 years ago
- VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers☆247Updated 4 years ago
- Template for data generator in Keras☆292Updated 7 years ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,595Updated 8 months ago
- Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning☆2,617Updated 2 years ago
- A collection of research papers on decision, classification and regression trees with implementations.☆2,401Updated last year
- Interactive Tools for Machine Learning, Deep Learning and Math☆2,758Updated 10 months ago
- ☆2,566Updated 2 years ago
- Machine learning glossary☆3,073Updated 10 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,852Updated 2 years ago
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,304Updated last year
- Organized Resources for Deep Learning Researchers and Developers☆3,182Updated 2 years ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,528Updated 7 months ago
- This repository is to prepare for Machine Learning interviews.☆1,559Updated 6 years ago
- Answers to 120 commonly asked data science interview questions.☆3,801Updated last year
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,877Updated 3 months ago
- A mindmap summarising Deep Learning concepts.☆1,685Updated 6 years ago
- Top 200 deep learning Github repositories sorted by the number of stars.☆1,714Updated last year
- Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.☆3,608Updated 5 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,360Updated 8 months ago
- Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository☆970Updated 10 months ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,471Updated last week
- Book about interpretable machine learning☆4,999Updated 2 months ago
- Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.☆645Updated 5 years ago
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,348Updated 7 months ago
- Attempting to make the Deep Learning Book easier to understand.☆1,079Updated 6 years ago