kabartay / openunivcoursesLinks
FREE ML Courses from Top Universities
β254Updated 2 months ago
Alternatives and similar repositories for openunivcourses
Users that are interested in openunivcourses are comparing it to the libraries listed below
Sorting:
- π§ Material for the Deep Learning Study Groupβ394Updated 3 years ago
- β346Updated 5 years ago
- Blogs on Machine Learning and Deep learningβ114Updated 4 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.β616Updated 3 years ago
- 100 exercises to learn Python Datatableβ270Updated 3 years ago
- Implementation of different ML Algorithms from scratch, written in Python 3.xβ412Updated last year
- A guide to building awesome machine learning projects.β250Updated 5 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.β344Updated 3 years ago
- Some of the best twitter threads regarding Machine Learning and Deep Learningβ136Updated 2 years ago
- I am sharing my Journey of 66DaysofData in Natural Language Processing.β189Updated 2 years ago
- How to become a data scientist in 30 daysβ210Updated 4 years ago
- A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.β343Updated 2 years ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.β499Updated last month
- References list for machine learning and deep learning in computer vision.β119Updated 3 years ago
- GitHub Repo with various ML/AI/DS resources that I find usefulβ465Updated last year
- Preparation for Machine Learning Interviewβ186Updated last year
- β350Updated 2 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learningβ346Updated 4 years ago
- Full Stack Deep Learning Online Courseβ909Updated 4 years ago
- Probably the best curated list of data science books in Pythonβ421Updated last month
- This repository contains landmark research papers in Natural Language Processing that came out in this century.β215Updated 4 years ago
- Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithmβ¦β132Updated 2 years ago
- Practical course, which starting from Data Science offers examples (with Python code) and explanation (in Twitter threads) on concepts anβ¦β76Updated 2 years ago
- A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras APIβ227Updated 4 years ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.β173Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)β575Updated 5 years ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to sβ¦β184Updated 3 years ago
- My personal notes on Machine Learningβ145Updated 5 years ago
- π Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβthe ghost knowledge of machine learning.β202Updated last year
- π₯ A collection of PyTorch notebooks for learning and practicing deep learningβ588Updated 2 years ago