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:
- ☆152Updated 3 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆347Updated 3 years ago
- This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)☆68Updated 4 years ago
- ☆38Updated 3 years ago
- Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforce…☆192Updated 5 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆139Updated 5 years ago
- ☆344Updated 4 years ago
- Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov☆79Updated 2 years ago
- A List of Machine Learning Interview Questions.☆46Updated 6 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆247Updated last year
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP☆82Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆281Updated 4 years ago
- A set of jupyter notebooks on pytorch functions with examples☆160Updated 5 years ago
- References list for machine learning and deep learning in computer vision.☆116Updated 2 years ago
- Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithm…☆132Updated last year
- A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API☆228Updated 4 years ago
- Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics☆34Updated 2 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆607Updated 2 years ago
- 100 exercises to learn Python Datatable☆269Updated 3 years ago
- Course: Deep Learning☆192Updated last year
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆572Updated 5 years ago
- Advanced Machine Learning Specialization on Coursera☆221Updated 5 years ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆124Updated 10 months ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Course: Applied Machine Learning☆63Updated last year
- A repository to keep track of all the code that I end up writing for my blog posts.☆249Updated 2 years ago
- Blogs on Machine Learning and Deep learning☆112Updated 3 years ago
- Machine Learning begins with Human Learning☆108Updated 3 years ago
- Practical course, which starting from Data Science offers examples (with Python code) and explanation (in Twitter threads) on concepts an…☆76Updated last year