5921 Open source projects that are alternatives of or similar to Ensemble Machine Learning Cookbook

Overview of NLP tools and techniques in python

Bayesian modeling of COVID-19

A binary classification model based on tensorflow.

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

My kaggle competition solution and notebook

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

STAT406 @ UBC - "Elements of Statistical Learning"

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

支付宝 AR 红包 破解教程

Python implementation of the Johansen test for cointegration

Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna

Udacity Artificial Intelligence Nanodegree

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

Fine-grained ImageNet annotations

Style Transfer - Alia Bhatt (Google Colab)

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

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

offline part of icyface

University of Michigan on Coursera

Time Series Anomaly Detection Toolkit

Repo for Zillow Web scraper

Implementation of various generative models

PyMC3 educational resources

Forecasting Uber demand in NYC neighborhoods

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

Repository for OSGeo-Live Jupyter Notebooks

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

privacy

Aspect-Based Sentiment Analysis

Implementation of "Domain-adaptive deep network compression", ICCV 2017

Easy Twitter threads with Python

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

RCS Intro to Databases workshop materials

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

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

Interview = 简历指南 + LeetCode + Kaggle

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

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Sentimental analysis using keras in python

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

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

Notebooks for playing around with datasets etc.

A collection of Jupyter notebook workings

Introductory QMC teaching material for Python

Statistics and Machine Learning for Data Mining

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

Library to plot integer sets and maps

Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando

ML.NET Workshop to predict car sales prices

Alfabattle 2.0 1st task Top-6 solution: 8-folds lgbm blend

Sentiment Analysis with LSTMs in Tensorflow

Tensorflow ResNet implementation on cifar10