aayush gupta 's starred repositories
scheduler-tracing-tools
Tools to visualize trace-cmd report
google-research
Google Research
annotated_deep_learning_paper_implementations
🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes đź“ť; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... đź§
List-Of-Open-Source-Internships-Programs
A curated list of all the open-source internships/Programs
moonmath-manual
A resource for anyone interested in understanding and unlocking the potential of zk-SNARKs, from beginners to experts.
amplication
🔥🔥🔥 The Only Production-Ready AI-Powered Backend Code Generation
cheers
cheers is a minimalistic web-app that polls 2 rest APIs and stores their responses in the MongoDB database. It then fetches the ten most recent insertions and updates the UI with their attributes. I did this project as part of the Internship assignment given by the company named "TachStax Private Limited".
ImageCaption_Flickr30k
Image captioning model with Resnet50 encoder and LSTM decoder
the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Flask-Social-Networking
This is a Small Social Networking website developed using Flask and Peewee. It uses Jinja-2 templating engine.
what-to-code
Ideas for things to program
awesome-rust
A curated list of Rust code and resources.
flask-oauthlib
YOU SHOULD USE https://github.com/lepture/authlib
Chess-Coding-Adventure
A work-in-progress chess bot written in C#
Computer-Vision---Object-Detection-in-Python
Object detection (faces, humans, cars) using OpenCV in Python
sagamantus
Personal Page
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.
Face-Recognition-Facenet-
An implementation of the Siamese Neural Network for facial recognition using one shot detection, that eliminates the requirement for the Neural Network to be trained each time a new image is added to the database. Trained using a Triplet Loss Function, it may even be used to perform the facial recognition with one training instance image.