6338 Open source projects that are alternatives of or similar to Spark Practice

🍇 Edit and execute code snippets in the browser using Jupyter kernels

LargitData Course Material

Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。

Automatic image captioning model based on Caffe, using features from bottom-up attention.

An interactive heatmap visualization built using D3.js

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A curated list of awesome Jupyter projects, libraries and resources

Decentralized Machine Learning Client

Jupyter Notebooks with Deep Learning Tutorials

Run any standard Python code quality tool on a Jupyter Notebook

Bu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

The Los Angeles Times' independent tally of coronavirus cases in California.

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

A delightful and complete interface to GitHub's amazing API

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.

just some code snippet

Jupyter notebooks for the Julia Scientific Programming course on Coursera

Codes related to various ML Hackathons

A cute multi-layer LSTM that can perform like a human 🎶

Code snippets from Kite blog posts

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

Multi-Graph Convolutional Neural Networks

Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

基于Tensorflow2的深度学习开源书籍

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

One has no future if one couldn't teach themself.

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

[ICCV 2019] Monocular depth estimation from a single image

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Training Diary

Optimization Examples with SigOpt

A Simple pytorch implementation of GradCAM and GradCAM++

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

Echo State Networks in Python

A seq2seq model that can correct spelling mistakes.

A complete catalog of all the players in Fifa 18 and their complete statistics.

retrain gpt-2 in colab

Advanced Machine Learning Specialization on Coursera

Detecting and counting small objects - Analysis, review and application to counting

This projects gives Kotlin bindings and several extensions for Apache Spark. We are looking to have this as a part of Apache Spark 3.x

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Representing research papers as vectors / latent representations.

Ropsten public testnet PoW chain

🎄 Virtual DOM for Python

An electronic simulation library written in pure Python

Python for Finance Cookbook, published by Packt

Python tutorials for introduction to machine learning