7554 Open source projects that are alternatives of or similar to Starnet

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

An Android transformation library providing a variety of image transformations for Picasso

This is the code for the Kaggle Earthquake Challenge by Siraj Raval on Youtube

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Python Feature Engineering Cookbook, published by Packt

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.

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

Python Deep Learning Projects, published by Packt

Python port of CausalImpact R library

Cloud Dataproc: Samples and Utils

A tour through recommendation algorithms in python [IN PROGRESS]

This is ongoing work developing quick reference sheets for IPython

Reproduce CheXNet

chainer implementation of pix2pix

ImJoy: Deep Learning Made Easy!

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

📊 Algorithm Visualizer for IPython/Jupyter Notebook

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.

A collection of DL experiments and notes

DEPRECATED - DO NOT USE

Course materials for the Automating GIS processes -course, University of Helsinki, Finland

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

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

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.

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.

An easy to use waterfall chart function for Python

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

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

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

Repository for different network models related to flow/disparity (ECCV 18)

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Loss Landscapes of Regularized Linear Autoencoders

How to train an object detection model easy for free

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

Official reinforcement learning environment for demand response and load shaping

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.

量子コンピュータ初学者のための自習教材

In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. (Using Python 3)

Arabic root finder with neural nets!

The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io

쏘카 데이터 그룹 사내 신입/인턴을 대상으로 한 카일 스쿨

Machine Learning Tutorial in IPython Notebooks

Attention-guided CNN for image denoising(Neural Networks,2020)

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.

Numba tutorial materials for Scipy 2016

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

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

Repository containing monthly challenges about quantum computing.

Training and inference code for ExpandNet

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.