6029 Open source projects that are alternatives of or similar to Deep Hedging

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Bayesian modeling of COVID-19

My kaggle competition solution and notebook

This is a phonemic multilingual (Russian-English) Implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis.

This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube

‼️ MOVED TO https://github.com/openeemeter/eemeter - Core computation engine for the Open Energy Efficiency Meter

支付宝 AR 红包 破解教程

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

facial landmarking using dlib

Python implementation of the Johansen test for cointegration

A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/

Udacity Artificial Intelligence Nanodegree

Library to plot integer sets and maps

Presentation and code from Cryptocurrency Technical Trading strategy meeting. Dec 7th 2017

Style Transfer - Alia Bhatt (Google Colab)

Contributions to Julia Documentation

bayesian graphical modelling and a bit of do-calculus for discrete data.

Time Series Anomaly Detection Toolkit

University of Michigan on Coursera

Implementation of various generative models

Utilities for nolearn.lasagne

PyMC3 educational resources

Reliably download millions of images efficiently

This is a tutorial on training a network to detect buildings with the SpaceNet data.

privacy

Python 2.7 package with examples for evaluating a network's ability to group a given node set in network proximity.

🔬 A curated list of awesome machine learning strategies & tools in financial market.

Aspect-Based Sentiment Analysis

How to do data science with Optimus, Spark and Python.

Easy Twitter threads with Python

An experiment in creating a dump of your personal browser history for analysis

RCS Intro to Databases workshop materials

Interview = 简历指南 + LeetCode + Kaggle

This is the code for "How Do We Democratize Access to Data?" by Siraj Raval on Youtube

Notebooks for playing around with datasets etc.

Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

Sentimental analysis using keras in python

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

Pruning and other network surgery for trained TF.Keras models.

Introductory QMC teaching material for Python

A collection of Jupyter notebook workings

Computer vision on 🍓

Statistics and Machine Learning for Data Mining

NIST Language i-vector Machine Learning Challenge

Materials for Applied Machine Learning Taught in Python

Course project for Programing Machine Learnings Applications class

Code for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"

Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.

tensorflow implementation

Sentiment Analysis with LSTMs in Tensorflow

Competitive Data Science @ Tel Aviv Meetup