6217 Open source projects that are alternatives of or similar to Corus

R package to interface with OpenML

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures

source{d} datasets ("big code") for source code analysis and machine learning on source code

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

Datasets, tools, and benchmarks for representation learning of code.

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Data Reading Blocks for Python

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Examples of using Raster Vision on open datasets

Jupyter meets Vim. Vimmer will fall in love.

Books Papers, Courses & more I have to learn soon

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Mastering Python for Finance – Second Edition, published by Packt

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Important paper implementations for Question Answering using PyTorch

A replica of the AlphaZero methodology for deep reinforcement learning in Python

A high performance implementation of HDBSCAN clustering.

A Quick Look generator for Jupyter/IPython notebooks without further dependencies

Images and notebook for camera calibration

A library to model multivariate data using copulas.

Run your code in the cloud, with technology so advanced, it feels like magic!

code for py-R-FCN-multiGPU maintained by bupt-priv

Following repo is the solution to Stock Market Prediction using Neural Networks and Sentiment Analysis

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

使用两种方法（抽取式Textrank和概要式seq2seq）自动提取文本摘要

Programs for stock prediction and evaluation

2018达观杯长文本分类智能处理挑战赛 18解决方案

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Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Course materials for teaching data visualization in Python.

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Jupyter notebook server extension to proxy web services.

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

Multiscale Geographically Weighted Regression (MGWR)

(한국어) 텍스트 마이닝을 위한 공부거리들

Label line using matplotlib.

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

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

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Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

visualization of CNN in PyTorch

cell detection in calcium imaging recordings

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Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

This is the code for "Sentiment Analysis - Data Lit #1" by Siraj Raval on Youtube

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.