amnayk

amnayk's Stars

• aws-samples/generative-ai-financial-services-samples

  Language:Python365

• databrickslabs/dlt-meta

  Metadata driven Databricks Delta Live Tables framework for bronze/silver pipelines

  Language:Python14260

• Mmodarre/AzureDataFactoryHOL

  Azure Data Factory Hands On Lab - Step by Step - A Comprehensive Azure Data Factory and Mapping Data Flow step by step tutorial

  6660

• kromerm/adflab

  Azure Data Factory hands-on lab, self-paced. Learn how to lift & shift SSIS packages to the Cloud with ADF. Build new ETL pipelines in ADF, transform data at scale, load Azure Data Warehouse data marts. Also walks through operationalizing ADF pipelines with scheduling and monitoring modules.

  Language:PowerShell135125

• mspnp/azure-databricks-streaming-analytics

  Stream processing with Azure Databricks

  Language:Scala12773

• rockthejvm/udemy-scala-beginners

  Language:Scala285343

• vtleonardo/Reinforcement-Learning

  Implementation of the DQN and DRQN algorithms in Keras and tensorflow

  Language:Python62

• mynkpl1998/Recurrent-Deep-Q-Learning

  Solving POMDP using Recurrent networks

  Language:Jupyter Notebook8028

• marload/DeepRL-TensorFlow2

  🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

  Language:Python598140

• lucadivit/Reinforcement_Learning_Maze_Solver

  This github contains a simple OpenAi Gym Maze Enviroment and (at now) a RL Algorithm to solve it.

  Language:Python3

• mveres01/pytorch-drl4vrp

  Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

  Language:Python435118

• ttajmajer/morl-dv

  Modular Multi-Objective Reinforcement Learning with Decision Values

  Language:Python231

• rfbr/PDR_with_Deep_Learning

  Language:Python3811

• guillaume-chevalier/LSTM-Human-Activity-Recognition

  Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

  Language:Jupyter Notebook3.3k935

• claimed-framework/component-library

  The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

  Language:Jupyter Notebook2.3k4.1k

• codeamt/IBM-Advanced-Data-Science

  Notebooks from IBM Advanced Data Science Specialization. Topics include Scalable Data Science and Machine Learning for Signal Processing.

  Language:Jupyter Notebook2642

• rteammco/activity-indoor-localization

  Code for an indoor localization project for CS386W (Wireless Networking). We use activity classification from motion data collected by a smartphone and a particle filter to localize a user inside a builidng.

  Language:Python68

• albertyw/indoor-localization

  Indoor Localization by Wifi/Gyroscope/Accelerometer; made at Dropbox Hack Week 2013

  Language:Java259

• markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping

  Python implementation of KNN and DTW classification algorithm

  Language:Jupyter Notebook774213

• location-competition/indoor-location-competition-20

  Indoor Location Competition 2.0

  Language:Python18788

• tirthajyoti/Papers-Literature-ML-DL-RL-AI

  Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

  2.3k701

• EvgeniiMunin/gnss-multipath-detector

  Model to predict the multipath anomaly in GPS L1 C/A signals

  Language:Jupyter Notebook2315

• cabani/MaskedFace-Net

  MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).

  36960

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.4k2.1k

• keras-team/keras

  Deep Learning for humans

  Language:Python61.6k19.4k