Ayush Singhal's Projects
Config files for my GitHub profile.
This repository contains a collection of deep learning architectures, including convolutional neural networks, recurrent neural networks, and deep reinforcement learning agents. The architectures are implemented in Python using the PyTorch/Keras/Hugging Face deep learning framework.
Build a chatbot powered by LlamaIndex that augments GPT 3.5 with the contents of the Streamlit docs (or your own data).
This repository contains code for implementing machine learning algorithms from scratch. The code is written in Python and is designed to be easy to understand and follow. The algorithms are implemented using NumPy and SciPy, which are popular Python libraries for scientific computing.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repository contains code for building neural networks from scratch in Python. The code is designed to be simple and easy to understand, and it is intended to be used as a learning resource for beginners.
This repo contains a collection of projects that I have worked on. The projects are in a variety of topics. I hope that you find them interesting and helpful.
A Python package for creating an Abstract Syntax Tree for every language
This is the repository for the Stmol project, a Streamlit component that uses py3Dmol to render molecules.
š§ Tests for stpyvista deployed in streamlit community cloud