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

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Big Data Ecosystem Docker

Basin is a visual programming editor for building Spark and PySpark pipelines. Easily build, debug, and deploy complex ETL pipelines from your browser

Udacity Data Engineering Nano Degree (DEND)

Isolation Forest on Spark

State of the Art Natural Language Processing

LargitData Course Material

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

python tutorial

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

Decentralized Machine Learning Client

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Run any standard Python code quality tool on a Jupyter Notebook

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

Code for a workshop on statistical interference using computational methods in Python.

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

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

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

Text detection model that combines Retinanet with textboxes++ for OCR

Reference deployment of JupyterHub and nbgrader on a single server

just some code snippet

Codes related to various ML Hackathons

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

Code snippets from Kite blog posts

Multi-Graph Convolutional Neural Networks

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

A Repository of Notebooks for the Python Lecture Site

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

Visualizations based on best open science practices.

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

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

Scripts/Notebooks used for my articles published on Medium

RadIO is a library for data science research of computed tomography imaging

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

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

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

Project containig related material for my TensorFlow articles

Optimization Examples with SigOpt

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

Repository for coursera specialization Applied Data Science with Python by University of Michigan

Realistic Handwriting with Tensorflow

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)

A seq2seq model that can correct spelling mistakes.

retrain gpt-2 in colab

Intro to deep learning for medical imaging lesson, by MD.ai

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

[ko] 패스트캠퍼스 강의 자료

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

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

Code release for "learning to find good correspondences" CVPR 2018

爬虫+数据分析实战项目

Go binding for TensorFlow Lite

Auxiliary Classifier Generative Adversarial Networks in Keras

Quantum Challenge problem sets

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe