Pinned Repositories
CFDS
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
co_piloted_auditing
Prompt protocol repository of the "Artificial Intelligence Co-Piloted Auditing" paper.
courseACA
A series of interactive lab notebooks we prepared for the ACA course on "Internal Audit Knowledge Elements". The content of the series is based on Python, IPython Notebook, and PyTorch.
courseAIML
A series of interactive labs we prepared for the Introduction into Artificial Intelligence and Machine Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.
courseML
A series of interactive labs we prepared for the Bachelor BWL Machine Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.
courseMLDL
A series of interactive labs we prepared for the Introduction into Machine Learning and Deep Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.
deepAD
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
deepAI
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
deepContinualAuditing
deepPaper
The Financial Audit Data Analytics Paper Collection is an academic paper collection that encompasses data analytics, machine learning, and deep learning papers that produce experimental results related to the audit of financial accounting data.
GitiHubi's Repositories
GitiHubi/deepAI
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
GitiHubi/deepAD
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
GitiHubi/deepPaper
The Financial Audit Data Analytics Paper Collection is an academic paper collection that encompasses data analytics, machine learning, and deep learning papers that produce experimental results related to the audit of financial accounting data.
GitiHubi/courseAIML
A series of interactive labs we prepared for the Introduction into Artificial Intelligence and Machine Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.
GitiHubi/courseMLDL
A series of interactive labs we prepared for the Introduction into Machine Learning and Deep Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.
GitiHubi/deepContinualAuditing
GitiHubi/CFDS
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
GitiHubi/co_piloted_auditing
Prompt protocol repository of the "Artificial Intelligence Co-Piloted Auditing" paper.
GitiHubi/courseACA
A series of interactive lab notebooks we prepared for the ACA course on "Internal Audit Knowledge Elements". The content of the series is based on Python, IPython Notebook, and PyTorch.
GitiHubi/courseML
A series of interactive labs we prepared for the Bachelor BWL Machine Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.
GitiHubi/gitihubi.github.io
The portfolio page of GitiHubi.
GitiHubi/bknyaz.github.io
website
GitiHubi/CADS
GitiHubi/CFM
GitiHubi/courseAAA
GitiHubi/courseFCS
A series of interactive labs we prepared for the Fundamentals of Computer Science (FCS) course. The content of the series is based on Python, IPython Notebook, and PyTorch.
GitiHubi/lxmls-toolkit
Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
GitiHubi/myIris