Pezhvuk's starred repositories
jupyterlab-nvdashboard
A JupyterLab extension for displaying dashboards of GPU usage.
ipypublish
A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!
ScaffoldGraph
ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.
padding_benchmark
Analysis of the effect of sequence padding on the performance of a hierarchical EC number prediction task.
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
BioNAS-pub
Public version of BioNAS, a Neural Architecture Search method for interpretable Bioinformatics applications
singlecell-ige
Alignment and antibody assembly pipelines for Croote et al. (Science, 2018)
Hyperparameter-Optimization-Tutorial
Hyperparameter-Optimization-Tutorial
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
caffenet-benchmark
Evaluation of the CNN design choices performance on ImageNet-2012.
keras-attention
Keras Attention Layer (Luong and Bahdanau scores).
K3D-jupyter
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
ipypublish_example
An example for generating a report with ipypublish (nbpublish command)