GitiHubi's Stars
johannbrehmer/manifold-flow
Manifold-learning flows (ℳ-flows)
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
tonyduan/normalizing-flows
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
riannevdberg/sylvester-flows
ml-jku/sars-cov-inhibitors-chemai
Large-scale ligand-based virtual screening for potential SARS-Cov-2 inhibitors using a deep neural network
rosinality/vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
acids-ircam/pytorch_flows
Implementation and tutorials of normalizing flows with the novel distributions module
victordibia/anomagram
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
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.
financial-data-science/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/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.
koenvandevelde/fd-autoencoder
Fraud detection autoencoder algorithm
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.