luckyluks

luckyluks's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python279k6.6k30846.7k

• karanpratapsingh/system-design

  Learn how to design systems at scale and prepare for system design interviews

  33.2k308213.7k

• sdras/awesome-actions

  A curated list of awesome actions to use on GitHub

  25.3k301411.5k

• abhisheknaiidu/awesome-github-profile-readme

  😎 A curated list of awesome GitHub Profile which updates in real time

  24.9k1591153.8k

• kingToolbox/WindTerm

  A professional cross-platform SSH/Sftp/Shell/Telnet/Serial terminal.

  Language:C24.1k1842.4k1.8k

• spicetify/cli

  Command-line tool to customize Spotify client. Supports Windows, MacOS, and Linux.

  Language:JavaScript18.9k982k737

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.7k407782.3k

• apache/seatunnel

  SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.

  Language:Java8.1k1753.5k1.8k

• amir20/dozzle

  Realtime log viewer for docker containers.

  Language:Go7k37656331

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.2k9374883

• techno-tim/k3s-ansible

  The easiest way to bootstrap a self-hosted High Availability Kubernetes cluster. A fully automated HA k3s etcd install with kube-vip, MetalLB, and more. Build. Destroy. Repeat.

  Language:Jinja2.5k501721.1k

• sjvasquez/web-traffic-forecasting

  Kaggle | Web Traffic Forecasting 📈

  Language:Python6682913239

• JEddy92/TimeSeries_Seq2Seq

  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

  Language:Jupyter Notebook6052212240

• kaiwaehner/hivemq-mqtt-tensorflow-kafka-realtime-iot-machine-learning-training-inference

  Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

  Language:Jupyter Notebook4082812145

• google-coral/tutorials

  Colab/Jupyter tutorials about training TensorFlow models for Edge TPU, and other tutorials

  Language:Jupyter Notebook184212541

• mlds-lab/interp-net

  Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.

  Language:Python9691415

• dsr-18/long-live-the-battery

  Predicting total battery cycle life time with machine learning

  Language:Jupyter Notebook906544

• MadhavShashi/Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet

  Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

  Language:Jupyter Notebook721023

• udacity/nd131-openvino-fundamentals-project-starter

  Language:JavaScript56124121

• eclipse-basyx/basyx-java-components

  java-components

  Language:Java2554830

• llllllllll/lain

  Models for osu! that learn from user replays to predict scores.

  Language:Python10301

• n14s/basyx-java-components

  java-components

  Language:Java1000