pps121
A wannabe polymath and an open-source contributor. Active Reviewer of research journals on Machine Learning & AI: https://speakerdeck.com/pps121
@WiproOpenSourceIndia
Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
ACL2022_KnowledgeNLP_Tutorial
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
Algo_Ds_Notes
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-notebooks
Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
awesome_tensorflow_implementations
aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
google-research
Google Research
pps121's Repositories
pps121/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
pps121/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
pps121/keras-nlp
Industry-strength Natural Language Processing workflows with Keras
pps121/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
pps121/X-is-all-you-need
A survey of all the 'X is all you need'
pps121/100LinesOfCode
Let's build something productive in less than 100 Lines of Code.
pps121/3.5-Months-of-Bertelsmann-Scholarship-Data-Track
My advance in the Technology Scholarships Introduction to Problem Solving with Advanced Analytics Challenge Course. By Bertelsmann
pps121/acl2020-openqa-tutorial
ACL2020 Tutorial: Open-Domain Question Answering
pps121/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
pps121/all-contributors
✨ Recognize all contributors, not just the ones who push code ✨
pps121/awesome-ML-projects-guide
A guide to building awesome machine learning projects.
pps121/awesome-research-proposals-guide
A guide to improve your research proposals.
pps121/Black-box-Adversarial-Reprogramming
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
pps121/dsn-hall-of-fame
A simple Python wrapper around the DBLP API, currently supporting author search and author and publication lookup.
pps121/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
pps121/First-AI4People-Workshop
Slides and Code for the first AI4People workshop on the 8.+9. August 2020.
pps121/ilc-scraper
A scraper for Impartus Lecture Capture videos for BITS Hyderabad
pps121/in-quiz-questions
Skill Linkedin quiz Assessment, answers and questions (aws-lambda, rest-api, javascript, react, git, html, jquery, maven, mongodb, xml, java, css, python ...) ответы на квиз
pps121/joss
The Journal of Open Source Software
pps121/keras-contrib
Keras community contributions
pps121/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
pps121/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
pps121/mit-eecs-thesis-proposal-template
MIT EECS Thesis Proposal Template
pps121/ml19-20w
CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering
pps121/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
pps121/models-1
Models and examples built with TensorFlow
pps121/neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
pps121/nmt
TensorFlow Neural Machine Translation Tutorial
pps121/projSplitFit
Projective Splitting for data fitting problems
pps121/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow