6149 Open source projects that are alternatives of or similar to Recsys19_hybridsvd

📊 Visualization of GTD with py Plotly lib, including amazing graphs and animation 📼

TensorForce Bitcoin Trading Bot

Exploratory Project on Fast Screen Space Global Illumination

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Simple tutorials using Google's TensorFlow Framework

Learn Python Fast With Jupiter Notebook

中文 Python 笔记

Code for Tensorflow Machine Learning Cookbook

Notes for getting to know the Julia programming language in one day.

Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

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Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

Kaggle 入门教程

MLOps examples

Daily Dose of Neural Network that Everyone Needs

An implementation of WaveNet with fast generation

MICCAI18 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Simple and flexible progress bar for Jupyter Notebook and console

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

ML-to-predict-Bitcoin-Prices

Resources for "Introduction to Deep Learning" course.

Code exercises and demos complementing lecture materials.

Structured data about Panama papers collected from official ICIJ website

fastFM: A Library for Factorization Machines

Evaluation of the CNN design choices performance on ImageNet-2012.

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

Getting started with soccer analytics

An idyll post all about dimensionality reduction.

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

RETIRED - instead use https://github.com/robmarkcole/HASS-Deepstack-object

Support content for my blog

CCKS 2020: 面向中文短文本的实体链指任务

Practical assignments of the Deep|Bayes summer school 2019

Classification Problem to detect credit card fraud

Image Segmentation and Object Detection in Pytorch

Visualize a pandas dataframe in a few clicks

Neural Style and MSG-Net

Experiments with using neural nets to solve a Rubik's Cube - read README first

Contains files related to content and project of DSND Term 2

COSE474: Deep Learning @ Korea University

Tablature generation system

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Python tutorials in both Jupyter Notebook and youtube format.

https://arxiv.org/abs/1707.00836

Dynamic Histogram Analysis To Determine Free Energies and Rates from Biased Simulations

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Data Augmentation For Object Detection

Materials for the preparatory course for new students of the Master of Autonomous Systems program

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping