RAJEEV RANJAN DWIVEDI's Projects
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
A curated list of awesome Deep Learning tutorials, projects and communities.
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Bayesian Data Analysis course at Aalto
🤓 Build your own (insert technology here)
A repository of my Coursera latex code and notes
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
PyTorch Implementation of DCGAN trained on the CelebA dataset.
Deep Learning Specialization by Andrew Ng on Coursera.
Coursework for PhD DSE Department
:octocat: Dark GitHub style
A collection of GNN-based fake news detection models.
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
Models and examples built with TensorFlow
Neural Networks: Zero to Hero
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent