Atcold / practicalAILinks
A practical approach to learning machine learning.
☆22Updated 6 years ago
Alternatives and similar repositories for practicalAI
Users that are interested in practicalAI are comparing it to the libraries listed below
Sorting:
- ☆38Updated 3 years ago
- ☆150Updated 3 years ago
- Practical course, which starting from Data Science offers examples (with Python code) and explanation (in Twitter threads) on concepts an…☆75Updated last year
- Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics☆34Updated 2 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io☆43Updated 3 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 6 months ago
- A set of jupyter notebooks on pytorch functions with examples☆160Updated 5 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- A List of Machine Learning Interview Questions.☆47Updated 6 years ago
- Python code for the Linear Algebra course by Mike X Cohen☆24Updated 2 years ago
- Serving TensorFlow models with TensorFlow Serving☆44Updated 3 years ago
- Code Repository for The Kaggle Workbook, Published by Packt☆119Updated 3 weeks ago
- Deep Learning Paper Implementations in PyTorch☆17Updated 2 months ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- Python Machine Learning Algorithms☆95Updated 2 years ago
- Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov☆76Updated 2 years ago
- 🔬 Sharing your data science notebooks with the community has never been this easy.☆38Updated 2 years ago
- Tensorflow 2.0 Computer Vision Cookbook, published by Packt☆51Updated 4 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆137Updated 5 years ago
- Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforce…☆186Updated 5 years ago
- 100 exercises to learn Python Datatable☆268Updated 3 years ago
- AI Summer's complete catalog of articles☆110Updated 3 years ago
- GANs in computer vision AI Summer article series☆75Updated 4 years ago
- ☆20Updated 2 years ago
- Real data science interview assignments☆93Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Last Minute Note of Machine learning and Deep learning by Jason Brownlee☆88Updated 5 years ago
- Machine Learning Algorithms Second Edition, published by Packt☆62Updated last year
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last year