5921 Open source projects that are alternatives of or similar to Pyspark Tutorials

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

Phased LSTM

All of our computational notebooks

Save Jupyter Notebooks as PDF

Curso de Data Science em Português

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

📒 Sphinx source parser for Jupyter notebooks

Tutorials for TensorFlow APIs the official documentation doesn't cover

机器学习和量化分析学习进行中

Using pandas for Better (and Worse) Data Science

Code release for NeRF (Neural Radiance Fields)

追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码

Jupyter notebook integration with Spyder

This is my assignment on Andrew Ng's course “neural networks and deep learning”

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

中文版TA-Lib库使用教程

Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)

darknet with GIoU

A machine learning course using Python, Jupyter Notebooks, and OpenML

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

A Python module for computing the Structural Similarity Image Metric (SSIM)

IPython/Jupyter notebook module for Vega and Vega-Lite

Finding Lane Lines using Python and OpenCV

Machine Learning Practical course repository

A curated list of Google Earth Engine resources

machine learning/artificial intelligence notes

The code of book: Python Scraping

An open-source, low-code machine learning library in Python

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

Content for Microsoft Reactor Workshops

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

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

Lectures on scientific computing with python, as IPython notebooks.

Python-based tools for document analysis and OCR

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

The data analysiser and predictor of https://xhamster.com/

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

COMS W4995 Applied Machine Learning - Spring 19

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

Repository for the Zero to Deep Learning® Video Course

open source for wechat-official-account (ID: PyDataLab)

Jupyter notebooks from the scikit-learn video series

Email Newsletter

Tutorial: Bayesian Statistical Analysis in Python

This is the Code for "Ethereum Future Prices" by Siraj Raval on Youtube