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🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
Julia package for kernel functions for machine learning
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.
MiROS (Minimal Real-Time Operating System) for ARM Cortex-M
A package for computing Graph Kernels
Set up ML profiling in 60 seconds
🚀🚀 Efficient implementations of Native Sparse Attention
The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures
The Kria Robotics Stack (KRS) is a ROS 2 superset for industry, an integrated set of robot libraries and utilities to accelerate the development, maintenance and commercialization of industrial-grade robotic solutions while using adaptive computing.
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
Plus Edition of KernelSU_Action. Use Github Action to build kernels with KernelSU. Supports all kernel versions theoretically.
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
Jupyter Kernels for the Spyder console