Hello, I'm Saurav 👋

• 🐝 I am a Computer Science student at the University of Manchester.
• 👨‍🎓 I am interested in Geometric Learning and Self Supervised Learning.
• 📣 I am a Google Developer Expert in Machine Learning @ml-gde.
• 🚀 I actively contribute to the JAX and PyG ecosystem.
• 👬 I'd love to collaborate on Open Source Implementations of Self Supervised Learning or GNN projects.
• 📟 Feel free to reach out via email at: sauravvmaheshkar <at> gmail.com or on Twitter.

Some projects that I like to highlight:

• SauravMaheshkar/sslgym: Benchmarking Self Supervised Learning Methods and model gym. I'm actively seeking contributors to train and release pre-trained weights for various methods. List of available issues.
• SauravMaheshkar/hivegraph: Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
• SauravMaheshkar/HyperGraphLearning: Comprehensive Study of Hyper Graph Representation Learning.
• SauravMaheshkar/softprompts: Comprehensive Study of Soft Prompting as a efficient method for Model Adaptation.

I also love to work on developer tooling and computer science fundamentals.

• SauravMaheshkar/python-template: General Purpose Repository Template for Python Projects 🐍, bootstrapped with pre-commit hooks, just, uv for python deps management and optimised GA workflows for python development.
• SauravMaheshkar/verilog-template: A Template for Verilog Projects (using iverilog and gtkwave) with test infrastructure. (support for ❄️ nix devShell coming soon !).
• SauravMaheshkar/dotfiles: My ❄️ Nix-darwin dotfiles.
• SauravMaheshkar/sat-rs: A SAT solver written in Rust 🦀.
• SauravMaheshkar/jangal-rs: Efficient Tree Data Structures in Rust 🦀.
• SauravMaheshkar/hypergraph.pl: Hypergraph structure implementation in Prolog 🧑‍💻.
• SauravMaheshkar/pico.rs: OS Fundamentals on Raspberry Pi Pico (RP2040) using Embedded Rust 🦀.
• SauravMaheshkar/playground: Multi-language Leetcode infrastructure.

Github Statistics

Gists

Blogpost/Title	Link
QLoRA: Efficient Finetuning of Quantized LLMs
Intrinsic Dimensions: The secret behind LoRA
Python Fundamentals
A Brief Introduction to Mixture Model Networks
A Brief Introduction to Graph Attention Networks
A Brief Introduction to Residual Gated GCNs
What is GraphSAGE ?
What are Graph Isomorphism Networks?
Pre-trained Transformers: BERT and RoBERTa
Normalization Series: What is Batch Normalization?
An Introduction to Neural Network Initialization With Keras
How to Implement Deep Convolutional Generative Adversarial Networks (DCGAN) in Tensorflow
How to Implement Deep Convolutional Generative Adversarial Networks (DCGANs) in PyTorch
Tutorial: Regression and Classification on XGBoost
Recurrent Neural Network Regularization With Keras
How to Initialize Weights in PyTorch
How to Compare Keras Optimizers in Tensorflow for Deep Learning
An Introduction to Datasets and DataLoader in PyTorch
What Is Cross Entropy Loss? A Tutorial With Code: Tensorflow + PyTorch
Using LSTM in PyTorch: A Tutorial With Examples