6966 Open source projects that are alternatives of or similar to Ghapi

A Swift API Client for GitHub and GitHub Enterprise

OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)

Communicate with Fortify Software Security Center through REST API in java, a swagger generated client

A framework for building integrations and APIs

Ruby interface to GitHub API

A Open-API derived JS + Node.js API client for Netlify

Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.

Code and instructions for making topographic maps of planets and moons

A Simple pytorch implementation of GradCAM and GradCAM++

Bot for management of Ansible issues and PRs on GitHub.

A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2

[ICCV 2019] Monocular depth estimation from a single image

Text recognition (optical character recognition) with deep learning methods.

Discover augmentation strategies tailored for your dataset

Protein Graph Library

Training Diary

DS4C: Data Science for COVID-19 in South Korea

"Data Mining in Action Course", Moscow Institute of Physics and Technologies

Experiments, algorithms and reports in machine learning reseach.

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Code for Siraj Raval's Coding Challenges!

Productivity Tools for Plotly + Pandas

基于Tensorflow2的深度学习开源书籍

『PythonではじめるKaggleスタートブック』のサンプルコード・脚注・正誤表

Principles of Machine Learning Python

A complete catalog of all the players in Fifa 18 and their complete statistics.

Interactive Go programming with Jupyter

Advanced Machine Learning Specialization on Coursera

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

Tutorials for creating and using ONNX models

Visualizer for pandas data structures

Solving NLP problems with Vowpal Wabbit: Tutorial and more

Jupyter notebooks for the Julia Scientific Programming course on Coursera

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

First project for CVND: facial keypoint detection.

Tensorflow's Fairness Evaluation and Visualization Toolkit

an numpy-based implement of PointRend

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

A very lightweight Python wrapper to the Philips Hue API

Jupyter notebooks and code examples for my Kaggle Beginners' Guide.

Swift client for Unsplash

深度學習課程(第四梯)所設計的課程實作

Machine Learning Tutorials in Python

This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

Easily find and view pre-trained AI models and deep learning projects through the command line 💻

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

A cute multi-layer LSTM that can perform like a human 🎶

Deep learning infrastructure for bioinformatics

Echo State Networks in Python

复杂网络研究资源整理和基础知识学习

Material for the tutorial: "Deep Diving into GANs: from theory to production"

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

General Assembly's Data Science course in Washington, DC

COMS W4995 Applied Machine Learning - Spring 20

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).