6019 Open source projects that are alternatives of or similar to Ghost Free Shadow Removal

An implementation of "mixup: Beyond Empirical Risk Minimization"

Light-weight Single Person Pose Estimator

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

DeltaPy - Tabular Data Augmentation (by @firmai)

Streaming over lightweight data transformations

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Efficient Learning of Augmentation Policy Schedules

Bu repoda veri artırma (data augmentation) ile ilgili pratik uygulamalara ulaşabilirsiniz.

DrQ: Data regularized Q

Copy-paste augmentation for segmentation and detection tasks

Data Augmentation For Object Detection

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

Differentiable Data Augmentation Library

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

MindSpore document

Python port of CausalImpact R library

https://cn.udacity.com/mlnd/

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Mirror of Apache Open Climate Workbench

A collection of DL experiments and notes

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

UC Berkeley's software and documentation for Breakthrough Listen data

An easy to use waterfall chart function for Python

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

Short Course - Applied Machine Learning for Risk Management

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

How to train an object detection model easy for free

Python Feature Engineering Cookbook, published by Packt

Colab Notebook Remote torrent client

using CNN to do move prediction and board evaluation for the board game Go

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

Cloud Dataproc: Samples and Utils

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

This repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the example codes.

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

DEPRECATED - DO NOT USE

Supreme Court prediction project

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

Notebooks and other materials for Reading and Writing Electronic Text

Python script to download the celebA-HQ dataset from google drive

Generalized linear mixed-effect model in Python

Loss Landscapes of Regularized Linear Autoencoders

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Official reinforcement learning environment for demand response and load shaping

Demo of running NNs across different frameworks

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

Machine Learning Tutorial in IPython Notebooks

Microsoft Graph Security API applications and services.

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.

Educational material on using the TensorFlow Estimator framework for text classification

Numba tutorial materials for Scipy 2016

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Various material around private machine learning, some associated with blog

Reinforcement Learning examples implementation and explanation

Fit 3DMM to front and side face images simultaneously.

Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II

A PyTorch implementation of OpenAI's REPTILE algorithm