INDRASHIS PAUL's starred repositories
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
nn-zero-to-hero
Neural Networks: Zero to Hero
hands-on-train-and-deploy-ml
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
Text_Readability_Prediction
Predicting text reading complexity with transformers (top-9% Kaggle solution & interactive web app)
football_ai_commentary
AI generating real-time football commentary
Supertranslate.ai
Subtitle Videos and add text motion graphics - https://www.supertranslate.ai/
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
nba-prediction
A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Implementation-of-a-Search-Engine-using-Trie-Data-Structure-and-Algorithms-in-JAVA
Implemented a simplified Web Search Engine for the pages of a small Web site. A web crawler was implemented to gather information about these pages and store them in a dictionary known as inverted index. Inverted Index was implemented with Trie Data Structure for storing the index terms. When a single keyword or multiple keywords query is given, the search engine gives the pages containing all the given keywords. The occurrence list of each keyword was retrieved using the Trie. In addition to that ranking of pages has been implemented based on relevancy
the-algorithm
Source code for Twitter's Recommendation Algorithm
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
dtc-workshop
Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
My-Medium-Articles-Friendly-Links
Friendly link to all of my medium articles
timm-flutter-pytorch-lite-blogpost
PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
human-activity-recognition
Multivariate Time Series Classification for Human Activity Recognition with LSTM