5921 Open source projects that are alternatives of or similar to Book

主要存储Datawhale组队学习中“推荐系统”方向的资料。

[tutorial]A functional, Data Science focused introduction to Python

Implementing of the "A Neural Algorithm of Artistic Style"

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

Deep Learning / NLP tutorial for Chatbot Developers

Analysis scripts of things related to satellites

虾神的Python示例代码库

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

fastai V2 implementation of Timeseries classification papers.

Your new Telegram buddy powered by transformers

Tools for using a variational auto-encoder for latent image encoding and generation.

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

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

Develop production ready deep learning code, deploy it and scale it

Oxford Deep NLP 2017 course - Practical 1: word2vec

Code repository for Learning PySpark by Packt

PyTorch Implementation of Deformable Convolution

Data and code behind the articles and graphics at FiveThirtyEight

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Visualising LIDAR data from KITTI dataset.

Beautiful charting of pandas.DataFrame with Highcharts

Learn Python, Easy to learn, Awesome

NeMo: a toolkit for conversational AI

Notes and Summaries on ML-related Research Papers (with optional implementations)

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

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.

General Assembly's Data Science course in Washington, DC

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

A knowledge graph and a set of tools for drug repurposing

メディカルAIコース オンライン講義資料

Full Stack Data Science in Python

💎 数学公式识别

Code for our paper "Hamiltonian Neural Networks"

Deep Learning examples with Keras.

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

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

Malware Detection and Classification Using Machine Learning

Deep Learning Zero to All - Tensorflow

Tensorflow notes

Text Classification through CNN, RNN & HAN using Keras

python automatic data quality check toolkit

Productionise your Jupyter Notebooks as easily as you wrote them.

Example Machine Learning Scripts for Numerai's Tournament

Deep Learning for Land-cover Classification in Hyperspectral Images.

Python version of Quantiacs toolbox and sample trading strategies

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

2018-JDDC大赛第4名的解决方案

This repository contains my python (3) script examples that focus on use cases for Network Engineers.

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

朱小五写文章涉及到的数据分析，爬虫，源数据

Kaggle Struggle

Repository containing files for my PyCon 2014 scikit-learn tutorial.