🚀🚀 Efficient implementations of Native Sparse Attention
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Updated
Sep 29, 2025 - Python
🚀🚀 Efficient implementations of Native Sparse Attention
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
This is the full file system fuzzing framework that I presented at the Hack in the Box 2020 Lockdown Edition conference in April.
Learn how to develop kernels
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
Foundational library for Kernel methods in pattern analysis and machine learning
Operating System-based projects explored and implemented chapter-wise. The programs are inspired from end-of-chapter projects in Silberchatz's "Operating System Concepts".
Fast embedding-based graph classification with connections to kernels
Code for the NeurIPS 2021 paper "Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes".
Personal reimplementation of some ML algorithms for learning purposes
Genome Network Ala Neural Network
metaprogramming for LLMs and other humans
A Gradio-based demonstration application for the Tencent HunyuanOCR model, focused on optical character recognition (OCR) tasks such as text detection, extraction, and coordinate formatting from images. Users can upload images, customize prompts (e.g., for Chinese/English text).
A Gradio-based demonstration for the Tongyi-MAI/Z-Image-Turbo diffusion pipeline, enhanced with a curated collection of LoRAs (Low-Rank Adaptations) for style transfer and creative image generation. Users can select from pre-listed LoRAs or add custom ones from Hugging Face repositories.
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