-
Ca' Foscari University, IT dept.
- italy
- riccardobernardi.github.io
Starred repositories
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
💿 Free software that works great, and also happens to be open-source Python.
📡 Simple and ready-to-use tutorials for TensorFlow
Your new Mentor for Data Science E-Learning.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
machine learning with logical rules in Python
experiments with python
Deep Learning Study Group
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
Python code for the fast bilateral solver
Face mask detection system using Deep learning.
Hiding Images within other images using Deep Learning
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
Utilities for preprocessing text for deep learning with Keras
Materials for the "Advanced Scikit-learn" class in the afternoon
Python package for publishing Jupyter Notebooks as Medium blogposts
A python package for graph kernels, graph edit distances, and graph pre-image problem.
https://github.com/rasbt/python-machine-learning-book