🚀🚀 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
Demonstration for the Qwen/Qwen-Image-Edit-2509 model with 3D lighting control using the Multi-Angle-Lighting LoRA adapter. Allows precise control of light source direction via interactive 3D viewport or sliders for azimuth and elevation..
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.
Genome Network Ala Neural Network
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