Machine Learning Tutorial in IPython Notebooks

Python script to download the celebA-HQ dataset from google drive

A PyTorch implementation of OpenAI's REPTILE algorithm

This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.

Official reinforcement learning environment for demand response and load shaping

个人深度学习项目整理

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II

Numba tutorial materials for Scipy 2016

How to train an object detection model easy for free

Source codes for the book "Application of Neural Network and PyTorch"

An easy to use waterfall chart function for Python

Predictive Filter Flow for fully/self-supervised learning on various vision tasks

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

DEPRECATED - DO NOT USE

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

Loss Landscapes of Regularized Linear Autoencoders