Code for Machine Learning for Algorithmic Trading, 2nd edition.

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/

Bandit algorithms for dynamic pricing of many products

😎 awesome dynamic pricing 💵

Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

Classical equations and diagrams in machine learning

Latex code for making neural networks diagrams

Collection of LaTeX resources and examples.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

An open access book on Python, OpenGL and Scientific Visualization, Nicolas P. Rougier, 2018

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Various Deep learning models on MURA dataset (arxiv.org/abs/1712.06957v4) using Pytorch

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Classification with PyTorch.

We analyze seven days of data from Twitter regarding customer sentiment for 6 US airlines: American, Delta, Southwest Airlines, United, US Airways, and Virgin America. From this data we evaluate ho…

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

A small package to create visualizations of PyTorch execution graphs

This repository is no longer maintained.

Tutorial material on the scientific Python ecosystem

A scikit-learn compatible neural network library that wraps PyTorch

Spherical CNNs

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

Hello World Introduction to Deep Learning for Medical Image Classification

Some custom dataset examples for PyTorch