5932 Open source projects that are alternatives of or similar to Swift

MLOps examples

Inference Code for Polygon-RNN++ (CVPR 2018)

Simple tutorials using Google's TensorFlow Framework

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.

Learn how to responsibly deliver value with ML.

TensorForce Bitcoin Trading Bot

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

pytorch implementation of openpose including Hand and Body Pose Estimation.

An introduction to network analysis and applied graph theory using Python and NetworkX

Code for Tensorflow Machine Learning Cookbook

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

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

Slides and code from our TensorFlow workshop.

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

Udemy üzerindeki Python kurslarında kullanılan materyaller

An implementation of WaveNet with fast generation

Generative Adversarial Networks implemented in PyTorch and Tensorflow

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Learning numerical computing with notebooks for all ages.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

中文 Python 笔记

Stock Price Prediction using Machine Learning Techniques

Implementing Siamese networks with a contrastive loss for similarity learning

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

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

Notebooks based on financial machine learning.

Practical assignments of the Deep|Bayes summer school 2019

This repository is intended to host tools and demos for ActivityNet

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

Object Detection

Machine Learning University: Accelerated Tabular Data Class

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Examples of matplotlib codes and plots

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

Lane Finding Project for Self-Driving Car ND

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

Pytorch easy-to-follow Capsule Network tutorial

Data Hacking Project

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

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

The Hitchhiker's Guide to Data Science for Social Good

Resources for "Introduction to Deep Learning" course.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Structured data about Panama papers collected from official ICIJ website

Solutions of Reinforcement Learning, An Introduction

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

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Getting started with soccer analytics

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

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.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Support content for my blog

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Learn Julia via interactive tutorials!

Keras version of Realtime Multi-Person Pose Estimation project

Gaussian Process Optimization using GPy

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