Tavpritesh's repositories
DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
cbioportal
cBioPortal for Cancer Genomics
BoostSRL
BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
allennlp
An open-source NLP research library, built on PyTorch.
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
awesome-twitter-data
A list of Twitter datasets and related resources.
Multi_Text_Classification
Multi Text Classificaiton
twitter-scraper
Scrape the Twitter Frontend API without authentication.
DynMultiNet
Bayesian Learning of Dynamic Multilayer Networks
causalgraphs
R code for causal graph animations
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.
IOS_SWAAS_VD
Codes from my PhD thesis chapter on Volume Dependence calculation from Impulse Oscillometry
ShinyBN
Interactive Bayesian Networks Learning, Inference and Validation
SAFE-ICU
Repository for SAFE-ICU Project IA/CPHE/14/1/501504
advanced-shiny
Shiny tips & tricks for improving your apps and solving common problems
MarkdownReports
Create (scientific) plots and markdown reports easily from your R scripts
ai-on.org
AI•ON projects repository and website source.
scipy-lecture-notes
Tutorial material on the scientific Python ecosystem
keras
R Interface to Keras
gensim
Topic Modelling for Humans
pandas-cookbook
Recipes for using Python's pandas library
Multitask-and-Transfer-Learning
Benchmark and build RL architectures that can do multitask and transfer learning.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
TensorFlow-LiveLessons
"Deep Learning with TensorFlow" LiveLessons in Safari Books
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-spn
A structured list of resources about Sum-Product Networks (SPNs)
awesome-semantic-segmentation
awesome-semantic-segmentation
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 ;)