6655 Open source projects that are alternatives of or similar to Hair Segmentation

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

visualization of CNN in PyTorch

website

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Skypad

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

All For NLP, especially Chinese.

Implementations of some popular Saliency Maps in Keras

StarNet

Feature selector is a tool for dimensionality reduction of machine learning datasets

BetterNetWork4SSD

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Python for chemoinformatics

Scenarios, tutorials and demos for Autonomous Driving

量子コンピュータ初学者のための自習教材

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

https://www.udemy.com/python-for-finance-and-trading-algorithms/

Data Structures & Algorithms Nanodegree Program from Udacity

Detecting Pikachu on Android using Tensorflow Object Detection API

Variational Adversarial Active Learning (ICCV 2019)

Implementation code for the paper "Generating Natural Language Adversarial Examples"

A repository to keep track of all the code that I end up writing for my blog posts.

📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料

周志华-机器学习

Geospatial data tutorial

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Data augmentation for NLP

Open source person re-identification in Pytorch

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Examples of using Raster Vision on open datasets

Comparison tools

A list of pretrained Transformer models for the Russian language.

IPython widgets, interactive plots, interactive machine learning

📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨

Pop Music Maker built on HMM and Random Forest-like structure. Inspired by the desire to build my own model can serve as alternative to LSTMs / deep learning in generating pop music. Website is currently down due to costs incurred.

Julia Project web site (Old)

ICR - Automated and Intelligent Company Report Built in Python (by @firmai)

Mastering Python for Finance – Second Edition, published by Packt

Benchmarking different approaches for categorical encoding for tabular data

Tools for Sensor Fusion processing.

This project is trying to fetch real time balance & orderbook of ETH and visualise using dash

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

This is an introduction to tensorflow

Source code to accompany my paper "Poetic sound similarity vectors using phonetic features"

COCO-Text API http://vision.cornell.edu/se3/coco-text/

Books Papers, Courses & more I have to learn soon

Introduction to Deep Learning for Image Recognition

pyiron - an integrated development environment (IDE) for computational materials science.

一些爬虫的代码

Updated repository

Tutorial and Examples Jupyter Notebooks for Altair

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️

SciPy 2017 Pandas Tutorial

cell detection in calcium imaging recordings