Razer AIKit is an AI development toolkit with fast LLM inferencing, fine-tuning, and multi-GPU scaling.

Fast CUDA matrix multiplication from scratch

Documentation, notes, links, etc for streams.

Explorations into NEAT and some of its derivative research

Data on religion and politics in India

Use Large Language Models (LLM) in Google Sheets

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

browser controlling AI agent that applies to relavant jobs on internet autonomously. join chat @ https://discord.gg/umgnyQU2K8

All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.

All Algorithms implemented in Python

Deep Reinforcement Learning: Zero to Hero!

Easily find Obsidian plugins!🚀

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023

🙈 Volkswagen detects when your tests are being run in a CI server, and makes them pass.

proxy list that updates every 10 minutes

Papers on Graph Analytics, Mining, and Learning

Topological Deep Learning

Ready-to-go Google Sheets + Forms Setup: Track expense/income/investments, credit card usage, budget with an intuitive app-like interface

Basically listing out how to get some basic logistics out of the way

Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes

Parallel reduction of boundary matrices for Persistent Homology with CUDA

Machine learning, in numpy

A Browser Extension for faster reading on ANY website!

Turns Data and AI algorithms into production-ready web applications in no time.

Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

Python-based persistent homology algorithms

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categoric…

List of Data Science and Machine Learning Resource that I frequently use

Lists of resources useful for my PhD in computer vision

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…