SM Farhad Ali (logicalfarhad)

logicalfarhad

Geek Repo

Company:Fraunhofer IAIS

Location:Sankt Augustin, Germany

Home Page:logicalforhad.wordpress.com

Github PK Tool:Github PK Tool

SM Farhad Ali's starred repositories

Auto_Jobs_Applier_AI_Agent

Auto_Jobs_Applier_AI_Agent by AIHawk is an AI Agent that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an automated and personalized way.

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superset-keycloak

Superset with keycloak integration using OpenID Connect

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DataSpaceConnector-Fork

DataspaceConnector project

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springtainer-mongodb

MongoDB as docker-container for springboot testing

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rules_extraction_from_healthcare_policy

Rules extraction from Healthcare policy

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react-mono-state

State Management Lib - reactive and less boilerplate

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Top-Deep-Learning

Top 200 deep learning Github repositories sorted by the number of stars.

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machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

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nn-from-scratch

Implementing a Neural Network from Scratch

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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deep_learning_object_detection

A paper list of object detection using deep learning.

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awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

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interviews

Everything you need to know to get the job.

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speaker-recognition

Speaker recognition system based upon classification of Mel-Frequency Cepstral Coefficients (MFCC) using a minimum-distance classifier and a Gaussian Mixture Model (GMM) Log-Likelihood Ratio (LLR) classifier.

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