Pinned Repositories
advanced-data-structures
Implementation of different Tree data structures like RB tree, Binary Search Tree(BST), B-tree and some other conventional DS like stack,Disjoint sets along with some stable sort algorithms from scratch.
Multilingual-Dependency-Parser-for-English-Spanish-and-Dutch-Language-
In this, I have implemented a form of Joakim Nivre’s “arc-eager transition-based dependency parser”.
operating-systems
Implementation of all the standard CPU scheduling and memory management algorithm from scratch .
p2p-lending
A decentralized, smart contract based chit fund platform on the Ethereum Blockchain
PySyft
A library for encrypted, privacy preserving deep learning
Question-Answering-system-
It uses extensive NLP and ML techniques at its backend for answering descriptive type queries ( currently, the model has been trained only for Data science and Machine Learning Domain ).
smartcab-using-Reinforcement-Learning
In this, the self-driving agent uses RL techniques in a simplified world (created using Pygame) to effectively reaching its destinations in the allotted time. It uses Q-Learning algorithm to find the best configuration of learning and exploration factors to ensure that it is reaching its destinations with consistently positive results without causing any traffic violations (like traffic light and oncoming traffic at each intersection).
Word-Sense-Disambiguation-WSD-system
In this, I have created, trained and evaluated a WSD system using the SENSEVAL corpus based on the vector space model (VSM).
pushpendrapratap's Repositories
pushpendrapratap/Question-Answering-system-
It uses extensive NLP and ML techniques at its backend for answering descriptive type queries ( currently, the model has been trained only for Data science and Machine Learning Domain ).
pushpendrapratap/Multilingual-Dependency-Parser-for-English-Spanish-and-Dutch-Language-
In this, I have implemented a form of Joakim Nivre’s “arc-eager transition-based dependency parser”.
pushpendrapratap/smartcab-using-Reinforcement-Learning
In this, the self-driving agent uses RL techniques in a simplified world (created using Pygame) to effectively reaching its destinations in the allotted time. It uses Q-Learning algorithm to find the best configuration of learning and exploration factors to ensure that it is reaching its destinations with consistently positive results without causing any traffic violations (like traffic light and oncoming traffic at each intersection).
pushpendrapratap/Word-Sense-Disambiguation-WSD-system
In this, I have created, trained and evaluated a WSD system using the SENSEVAL corpus based on the vector space model (VSM).
pushpendrapratap/p2p-lending
A decentralized, smart contract based chit fund platform on the Ethereum Blockchain
pushpendrapratap/advanced-data-structures
Implementation of different Tree data structures like RB tree, Binary Search Tree(BST), B-tree and some other conventional DS like stack,Disjoint sets along with some stable sort algorithms from scratch.
pushpendrapratap/operating-systems
Implementation of all the standard CPU scheduling and memory management algorithm from scratch .
pushpendrapratap/PySyft
A library for encrypted, privacy preserving deep learning
pushpendrapratap/bitcoin
Bitcoin Core integration/staging tree
pushpendrapratap/bookmark-manager
pushpendrapratap/Build-a-Language-Model-and-Part-of-Speech-POS-tagger
In this, I have created, trained and evaluated the language model using Brown corpus and implemented POS tagger using Viterbi algorithm.
pushpendrapratap/displacy-ent
:boom: displaCy-ent.js: An open-source named entity visualiser for the modern web
pushpendrapratap/django-search
Search using Elastic and at normal model based on attributes
pushpendrapratap/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
pushpendrapratap/pythia
Supervised learning for novelty detection in text
pushpendrapratap/read-aloud
An awesome browser extension that reads aloud webpage content with one click