7005 Open source projects that are alternatives of or similar to Cardio

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

An intro to Python & programming for wanna-be data scientists

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Temporary home for fastai v2 while it's being developed

Automatic extraction of relevant features from time series:

Create HTML profiling reports from pandas DataFrame objects

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.

Support content for my blog

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

Feature exploration for supervised learning

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

List of papers, code and experiments using deep learning for time series forecasting

Neural Style and MSG-Net

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

https://arxiv.org/abs/1707.00836

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Modern Data Science

Introduction to pandas Treehouse course

Human Activity Recognition (HAR) with Keras and CoreML

PyMC3 educational resources

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Data Reading Blocks for Python

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Archived - not answering issues

A platform for analysis & development of machine learning models using large de-identified healthcare datasets.

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

SuperComputing 2017 Deep Learning Tutorial

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

State-of-the-Art Language Modeling and Text Classification in Hindi Language

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

A desktop application for viewing and analyzing tabular data

Implementation of character based convolutional neural network

线性代数笔记

Materials for a short course on convex optimization.

Epidemic Modeling for Everyone

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

LargitData Course Material

📖 每一个伟大的思想和行动都有一个微不足道的开始

python tutorial

Jupyter notebooks associated with the Algorithms for Optimization textbook

Notebooks for Course

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

Advanced High Performance Data Science Toolbox for R by Laurae

Run any standard Python code quality tool on a Jupyter Notebook

Code for a workshop on statistical interference using computational methods in Python.

Deep Learning Zero to All - Tensorflow

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning