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Razer AIKit is an AI development toolkit with fast LLM inferencing, fine-tuning, and multi-GPU scaling.
Fast CUDA matrix multiplication from scratch
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.
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
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.
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…
This is a guide to get Pop_OS up and running on a razer blade 15