6236 Open source projects that are alternatives of or similar to Melusine

A day to day plan for this challenge. Covers both theoritical and practical aspects

SpaCy 中文模型 | Models for SpaCy that support Chinese

The hands-on NLTK tutorial for NLP in Python

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

A New, Interactive Approach to Learning Data Science

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

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Real Time News Scraping and Recommendation System - React | Tensorflow | NLP | News Scrapers

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

The blog post about Kubeflow, including all materials

An OCaml kernel for Jupyter (IPython) notebook

Learning numerical computing with notebooks for all ages.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

A central repository for all my projects

Companion code for Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop

My GitHub blog: things you might be interested, and probably not...

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

Natural Language Processing with TensorFlow, published by Packt

AI SDTM mapping (R for ML, Python, TensorFlow for DL)

Train multi-task image, text, or ensemble (image + text) models

BertQA - Attention on Steroids

GitHub Action for repo2docker

Important paper implementations for Question Answering using PyTorch

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

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

Utilities for preprocessing text for deep learning with Keras

【运筹OR帷幄|数据科学】pandas教程系列电子书

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Code, Notebooks and Examples from Practical Business Python

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

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

Compilation of R and Python programming codes on the Data Professor YouTube channel.

The Entire Transcript from the Office in Tidy Format

NeMo: a toolkit for conversational AI

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

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

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

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

CardIO is a library for data science research of heart signals

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Coding the Machine Learning Tutorial for Learning to Learn

Chronic Disease Prediction Using Medical Notes

Unsupervised clustering with (Gaussian mixture) VAEs

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Oxford Deep NLP 2017 course - Practical 1: word2vec

メディカルAIコース オンライン講義資料

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Scientific Python Geometric Algorithms Library

A web frontend for scheduling Jupyter notebook reports

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

💎 数学公式识别

Data Visualization with Python

PyTorch Implementation of Deformable Convolution

Quick, visual, principled introduction to pytorch code through five colab notebooks.