942 Open source projects that are alternatives of or similar to Scalnet

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

Java Convolutional Neural Network example for Hand Writing Digit Recognition

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

Weka package for the Deeplearning4j java library

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Code for Java Deep Learning Cookbook

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

All DeepLearning4j projects go here.

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

Implementation of cs229(Machine Learning taught by Andrew Ng) in python.

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Holistically-Nested Edge Detection

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Cloudflow enables users to quickly develop, orchestrate, and operate distributed streaming applications on Kubernetes.

Spark RDD to read, write and delete from HBase

Data Lineage Tracking And Visualization Solution

python从最基础的语法历经网络基础、前端基础、后端基础和爬虫与数据基础走向机器学习

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

A curated list of awesome resources related to the Ada and SPARK programming language

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration

酷玩 Spark: Spark 源代码解析、Spark 类库等

An sbt plugin to create awesome microsites for your project

An interactive playground for Scala

Sparkline BI Accelerator provides fast ad-hoc query capability over Logical Cubes. This has been folded into our SNAP Platform(http://bit.ly/2oBJSpP) an Integrated BI platform on Apache Spark.

Simple framework agnostic UI router for SPAs

A PyTorch implementation of center loss on MNIST

No dependency caffe replacement

基于BERT的中文命名实体识别

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

To know stats by heart

A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄

ETL Library for Machine Learning - data pipelines, data munging and wrangling

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

Custom implementation of Corrleation Module

YOLO for object detection tasks

A tool for monitoring and tuning Spark jobs for efficiency.

The Hunting ELK

List of Deep Learning Cloud Providers

A simple spark standalone cluster for your testing environment purposses

A Data Engineering & Machine Learning Knowledge Hub

DilatedNet in Keras for image segmentation

Distributed scikit-learn meta-estimators in PySpark

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Fair job scheduler on Kubernetes and Mesos for batch workloads and Spark

Create clusters of VMs on the cloud and configure them with Ansible.

Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

Enabling queries on compressed data.

Connect Spark to HBase for reading and writing data with ease

An example sbt project that compiles using Dotty

Code snippets for solving common big data problems in various platforms. Inspired by Rosetta Code