Tavpritesh

advanced-shiny

Shiny tips & tricks for improving your apps and solving common problems

ai-on.org

AI•ON projects repository and website source.

allennlp

An open-source NLP research library, built on PyTorch.

awesome-network-analysis

A curated list of awesome network analysis resources.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-semantic-segmentation

awesome-semantic-segmentation

awesome-spn

A structured list of resources about Sum-Product Networks (SPNs)

awesome-twitter-data

A list of Twitter datasets and related resources.

BoostSRL

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

causalgraphs

R code for causal graph animations

cbioportal

cBioPortal for Cancer Genomics

DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

DynMultiNet

Bayesian Learning of Dynamic Multilayer Networks

Few-Shot-Music-Generation

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

gensim

Topic Modelling for Humans

IOS_SWAAS_VD

Codes from my PhD thesis chapter on Volume Dependence calculation from Impulse Oscillometry

keras

R Interface to Keras

MarkdownReports

Create (scientific) plots and markdown reports easily from your R scripts

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Multi_Text_Classification

Multi Text Classificaiton

Multitask-and-Transfer-Learning

Benchmark and build RL architectures that can do multitask and transfer learning.

pandas-cookbook

Recipes for using Python's pandas library

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

SAFE-ICU

Repository for SAFE-ICU Project IA/CPHE/14/1/501504

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

ShinyBN

Interactive Bayesian Networks Learning, Inference and Validation

TensorFlow-LiveLessons

"Deep Learning with TensorFlow" LiveLessons in Safari Books

twitter-scraper

Scrape the Twitter Frontend API without authentication.