-
Mr
- Europe
- http://kave.io/
Stars
Discovering Interpretable GAN Controls [NeurIPS 2020]
A comprehensive reference for all topics related to Natural Language Processing
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
Hands-On Automated Machine Learning, published by Packt
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Companion webpage to the book "Mathematics For Machine Learning"
An open source ML system for the end-to-end data science lifecycle
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Startup Programming course at the University of Victoria
List of courses related to Mathematics, Statistics, Probability, Optimization and Machine Learning.
A day to day plan for this challenge. Covers both theoritical and practical aspects
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Code samples for my book "Neural Networks and Deep Learning"
Python Data Science Handbook: full text in Jupyter Notebooks
code for Data Science From Scratch book
This is an archived repository of one of the early Ethereum wallets.
[DEPRECATED] Mist. Browse and use Ðapps on the Ethereum network.
Tutorials on optimization and coding skills
Deep Learning Specialization by Andrew Ng on Coursera.
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
Models and examples built with TensorFlow
A curated list of awesome Deep Learning tutorials, projects and communities.
📡 Organized Resources for Deep Learning in Natural Language Processing
Implementation of deep learning algorithms and papers. Python, Tensorflow, PyTorch.