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java

All Algorithms implemented in Java

javascript

A repository for All algorithms implemented in Javascript (for educational purposes only)

jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

k-means-algorithm

kbe-sb-microservices

KBE Spring Boot Microservices

kleffycom

label-pixels

Label-Pixels is a tool for semantic segmentation of remote sensing images using fully convolutional networks (FCNs), designed for extracting the road network from remote sensing imagery and it can be used in other applications applications to label every pixel in the image ( Semantic segmentation).

laika_experiments_with_sat_imagery

Experiments with satellite image data

learningsparkv2

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

lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

mintbank_challenge

ml-for-beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

mlops-basics

movinin

Rental Property Management Platform with Mobile App

n26codingchallenge

A response to N26 Coding Challenge

nemo

Neural Modules: a toolkit for conversational AI

p2p-money

An app to help people exchange money online without a middleman like a bank or exchange agency

particl-desktop

The GUI application for Particl Markeplace and PART coin wallet. A decentralized peer to peer marketplace –free, secure, private, untraceable.

python

All Algorithms implemented in Python

python-1

Implementation of All ▲lgorithms in Python Programming Language

pythonalgorithms

All Algorithms implemented in Python 3

pythontest

Code for MIT803 Assignment

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

real-time-ml-prediction

Build a production ready Machine Learning service for real-time prediction using FastAPI

repo-2017-data-science

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

satapps_precision_agriculture

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satellite-imagery-analysis-with-python

Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.

satellite_imagery_analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.